Neuralεργασίες

I'm seeking a skilled data scientist or machine learning engineer to help me with a project on fraud detection. Key Points: - The purpose of the project is to identify fraudulent activity in a social network. - The dataset will be provided in CSV format. Before applying Graph Neural Networks (GNN) for node classification, there are specific feature engineering tasks that need to be completed. Ideal Skills: - Strong background in machine learning, particularly with graph neural networks and node classification. - Experience with feature engineering specific to time-based data (e.g., Von Mises distribution). - Familiarity with fraud detection techniques and best practices in the field. I'm looking to have this project completed as soon as possible. Please only app...

I need a seasoned GNN specialist, highly skilled in machine learning and data analysis. The project requires support as domain expertise, rather than specific application to finance, healthcare or marketing. Key Responsibilities: - Act as a domain expert - Guide through broader concepts of GNN Ide...specialist, highly skilled in machine learning and data analysis. The project requires support as domain expertise, rather than specific application to finance, healthcare or marketing. Key Responsibilities: - Act as a domain expert - Guide through broader concepts of GNN Ideal skills and experience: - Proficient in Machine Learning - Strong Data Analysis abilities - Deep understanding of Graph Neural Networks - Prior experience acting as a domain expert within GNN projects would b...

I'm in need of a skilled developer who can create and train a neural network for predictive analysis. The purpose of the network will be to process structured data (most likely in CSV or Excel format) for academic and research purposes. Key Requirements: - Expertise in neural network development and training - Strong background in predictive analysis - Proficiency in handling structured data - Familiarity with academic and research standards It would be great if you have experience with similar projects and can provide insights or suggestions to enhance the network's efficiency. I'm looking for someone proactive who can not only build a reliable model but also ensure it fits the required academic standards.

...performance optimization Backend Development: , Flask, RESTful API Microservices, Websockets, OAuth Nginx server management, Kubernetes, Kafka CI/CD integration Databases: RDBMS (MySQL, PostgreSQL) NoSQL (MongoDB) Query optimization, ORM/ODM (SQLAlchemy, Mongoose) Data warehousing, Distributed systems Machine Learning: Deployment Pipelines, Production management Data and Model Pipelines Neural Networks, Deep Learning, Algorithms Applied ML, Network Models Cybersecurity: IDS, SIEM tools, Network Security Linux, Cloud Computing, Cryptography Risk and Incident Management Database security Data Analytics: Tableau, Data Visualization Predictive Modeling, Kaggle EDA, Regression Analysis Project Management, Communication Additional Skills: Docker containerization Cloud platforms (...

I'm in need of a professional who can create a 3D Convolutional Neural Network (CNN) model diagram for a brain tumor classification project. I will share file. This will be based on my approach using 3D CNN and Transfer Learning for Brain Tumor Classification.

...cloning to create songs sing by virtual persons. We want our app to have the following features. - Create unique music based on user input information (speed, type, length...). - Create music based on the voice provided by the user - Change the voice of music provided by the user to the voice provided by the user Skills expected of you 1. Strong background in machine learning, deep learning, and neural networks. 2. Experience with audio signal processing and familiarity with audio data preprocessing techniques. 3. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Keras. 4. Knowledge of music theory and composition is a plus. 5. Experience with voice synthesis technologies such as WaveNet, Tacotron, or similar frameworks. 6. Fa...

...cloning to create songs sung by virtual personas. We want our app to have the following features. - Create unique music based on user input information (speed, type, length...). - Create music based on the voice provided by the user - Change the voice of music provided by the user to the voice provided by the user Skills expected of you 1. Strong background in machine learning, deep learning, and neural networks. 2. Experience with audio signal processing and familiarity with audio data preprocessing techniques. 3. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Keras. 4. Knowledge of music theory and composition is a plus. 5. Experience with voice synthesis technologies such as WaveNet, Tacotron, or similar frameworks. 6. F...

...a Convolutional Neural Network (CNN). Specific context about the desired classification problem and the type of images for training/testing are yet to be determined and will be shared as the project goes on. The deliverable of your task will be a working Python code able to solve a given image classification problem, producing corresponding output, which will be discussed further after kickoff. For this task, proficiency in Python and familiarity with machine learning and deep learning frameworks are critical, specifically in areas related to: - Python, with emphasis on libraries for data analysis and manipulation (such as Pandas, Numpy), data visualization (like Matplotlib, Seaborn), and machine learning (including Scikit-Learn, TensorFlow, Keras). - Convolutional Neural...

I require proficient help for an image processing project. The main objective is to detect conditions like diabetic retinopathy and cataracts in images. Development needs: * Recognise the mentioned conditions using Python, MATLAB, or LabView. * Implement and optimize neural networks, machine learning principles and image segmentation techniques. * Enhance images to increase detection accuracy. Skills & Experience Required: * Proficiency in Python, MATLAB, and LabView. * Sound understanding of neural networks and machine learning principles. * Solid skills in image segmentation. * Previous work in medical image processing, especially in ophthalmology, is a plus.

...cloning to create songs sung by virtual personas. We want our app to have the following features. - Create unique music based on user input information (speed, type, length...). - Create music based on the voice provided by the user - Change the voice of music provided by the user to the voice provided by the user Skills expected of you 1. Strong background in machine learning, deep learning, and neural networks. 2. Experience with audio signal processing and familiarity with audio data preprocessing techniques. 3. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Keras. 4. Knowledge of music theory and composition is a plus. 5. Experience with voice synthesis technologies such as WaveNet, Tacotron, or similar frameworks. 6. F...

...a time series forecast for my Twitter dataset. The forecast should be for 1, 3, and 7 days ahead. The key deliverable is 3 dynamic dashboards that display this forecast in real-time. Key Points to Note: - **Programming Language**: Python - **Time Series Forecasting**: The freelancer is expected to have a solid understanding of time series forecasting methods. The deliverables should include 2 Neural Network and 2 autoregressive models (ARIMA, SARIMA etc…). The validation should demonstrate each model performance. - **Dynamic Dashboard**: I'm looking for a dashboard that's dynamic and interactive. It should display the forecast for the Twitter data using a visually appealing interface. - **Real-time Data Updates**: The dashboard should be capable of updating in r...

...signal processing to build a cryptocurrency trading signal application. The core of this project will be to implement an LSTM (Long Short-Term Memory) neural network that utilizes techniques like Fourier transform among other signal processing methods to generate buy and sell signals based on historical cryptocurrency data. Key Project Requirements: - Data Handling: The application should be able to import and use cryptocurrency data from this Kaggle dataset: Binance Full History. - Signal Processing: Integrate Fourier transform and other signal processing techniques to analyze the data. - Model Implementation: Develop and train the LSTM neural network model to predict potential buy and sell points. - User Interface: Design a user-friendly GUI that displays graphs, essen...

I require assistance with creating a Neural Network using Matlab, specifically designed to recognize and keep track of a truck's speed and acceleration performance. The aim of the project is to support monitoring driving safety and efficiency. Ideal Skills and Experiences: - Strong foundation in Matlab operations and functionalities - Deep understanding of Deep Neural Networks and its uses - Knowledge in performance matrices for vehicles, specifically trucks - Previous experience in Image Recognition - Proven track record in similar projects

...cybersecurity and GNN. - AI Model Development: We are looking to create an advanced AI model specifically tailored for APT detection. Your experience in this area is crucial. - Provenance Graph Analysis: Your ability to analyze Provenance Graphs and identify anomalies, potentially suspicious activities, is paramount. Ideal Skill Set and Experience: - Proficiency in cybersecurity and Graph Neural Networks (GNN) is a must. - Demonstrable experience in improving APT detection accuracy. - Proven track record in developing AI models, specifically for cybersecurity applications. - Extensive experience in analyzing Provenance Graphs to identify suspicious activities. The expected timeframe for this project is 1-3 months. Please only apply if you have a solid background in cy...

I'm currently struggling with a logic error related to file location mismatch in my Google Colab notebook. I'm attempting to train a neural network model, however, this recurring issue is hindering progress. To solve this problem, I am seeking an individual with the following skills and experience: - Proficiency in debugging and solving logic errors, specifically those related to file location mismatches - Thorough understanding and practical experience with neural network models - Familiarity with Google Colab Notebooks and how they manage files and directories - Proven ability to quickly identify and resolve issues affecting model training My aim is to have this issue corrected promptly so I can continue with my model training.

I'm looking to improve my personal price action strategy in Pine Script by incorporating machine learning and neural network processes. Additionally, I want to integrate orderflow chart logic into this strategy. Key Project Details: - Incorporate automated machine learning and neural network processes to enhance existing price action strategy in Pine Script - Integrate orderflow chart logic to improve strategy's effectiveness - The project is for personal use Requirements: - Proficient in Pine Script - Strong experience with machine learning and neural networks - Familiarity with orderflow chart logic - Prior experience in developing trading strategies is a plus

I require proficient help for an image processing project. The main objective is to detect conditions like diabetic retinopathy and cataracts in images. Development needs: * Recognise the mentioned conditions using Python, MATLAB, or LabView. * Implement and optimize neural networks, machine learning principles and image segmentation techniques. * Enhance images to increase detection accuracy. Skills & Experience Required: * Proficiency in Python, MATLAB, and LabView. * Sound understanding of neural networks and machine learning principles. * Solid skills in image segmentation. * Previous work in medical image processing, especially in ophthalmology, is a plus.

We are working under an expedited deadline (less than 1 month) to integrate mac...deadline (less than 1 month) to integrate machine learning with our unit commitment problem (UCP), specifically focusing on renewable energy sources (RES) - solar and wind energy. Key responsibilities: - Implement neural networks in the machine learning algorithm. - Expertly merge UCP with RES (both solar and wind energy). - Expert in unit commitment problems Ideal candidate: - Proven experience in machine learning - Familiarity with neural networks - Strong understanding of renewable energy systems - particularly solar and wind - Ability to meet tight deadlines Your expertise in neural networks and renewable energy is pivotal to the success of this project. Let's make the wor...

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I'm seeking an experienced Python - TensorFlow/PyTorch developer to build a Deep Learning model for brain tumor classification. You should be adept with the following tools and libraries: The primary objective of this project is to create a reliable classification system that can accurately differentiate between brain tumors (types). The project will involve the development of a 3D convolutional neural network (CNN) along with transfer learning that can process the provided MRI images effectively. Key requirements for this project include: - Extensive experience in machine learning, particularly with CNNs - Proficiency with medical image analysis, particularly with MRI images - Previous experience with brain tumor classification is highly desirable - Strong understanding of t...

I am looking for a proficient Python developer extensively experienced in Deep Learning, particularly CNN (Convolutional Neural Network), for a critical cyber security project. Your task will be to develop a system capable of efficiently identifying network intrusions. Specifically: - The system will focus on the detection of anomalies within the realm of cyber security. - User behavior data will serve as the primary source of analysis in the effort to pinpoint these intrusions. - The detection algorithm must be highly accurate, maintaining an efficiency level above 95%. Ideal candidates must have: - Proven experience with Python and CNN Deep Learning algorithms. - Previous work on cyber security systems or similar projects is a major plus. - Firm understanding of user behavio...

I have a code implemented in Python that I need to convert to JavaScript code. Key Requirements: - Convert Python based machine learning model to JavaScript. - Ensure seamless integration with the existing JavaScript codebase. - Mai...JavaScript code. Key Requirements: - Convert Python based machine learning model to JavaScript. - Ensure seamless integration with the existing JavaScript codebase. - Maintain the accuracy and integrity of the model during the conversion process. Ideal Skills and Experience: - Proficient in both Python and JavaScript. - Experience in machine learning model conversion. - Strong understanding of neural networks. - Prior experience with integrating Python and JavaScript. I need a freelancer who can complete this task efficiently and effectively with...

I have a code implemented in Python that I need to convert to JavaScript code. Key Requirements: - Convert Python based machine learning model to JavaScript. - Ensure seamless integration with the existing JavaScript codebase. - Mai...JavaScript code. Key Requirements: - Convert Python based machine learning model to JavaScript. - Ensure seamless integration with the existing JavaScript codebase. - Maintain the accuracy and integrity of the model during the conversion process. Ideal Skills and Experience: - Proficient in both Python and JavaScript. - Experience in machine learning model conversion. - Strong understanding of neural networks. - Prior experience with integrating Python and JavaScript. I need a freelancer who can complete this task efficiently and effectively with...

I'm looking for a skilled AI engineer with experience in finance, proficient in Python, TensorFlow, and PyTorch. Key Responsibilities: - Design and implement machine learning algorithms to analyze financial data - Develop natural language processing models to process and interpret financial texts - Implement computer vision techniques for data visualization and pattern recognition Ideal Skills: - Proficiency in Python, TensorFlow, and PyTorch is a must - Experience in the finance industry is a plus - Strong understanding of machine learning, NLP, and computer vision techniques - Ability to work with diverse and complex datasets If you're a proactive AI engineer with a keen interest in finance and a proven track record of implementing AI solutions, I'd love to discuss this...

I need an expert to further optimize my existing CNN model that currently has an accuracy rate of over 80%. Despite the high performance, I believe there's room for improvement. Required Skills & Experience: * Extensive experience with Convolutional Neural Networks (CNNs) * Proficiency with text data processing * Track record of improving the accuracy of machine learning models Job Scope: * Review the current model and identify potential areas for improvement * Implement strategies to increase training speed and minimize overfitting * Improve the model's overall accuracy * Maintain detailed documentation on the steps taken and their impacts Despite the model's high initial accuracy, I'm ambitious about reaching even higher stats. If you're a guru a...

...for another dataset and run it in Ubuntu. Prospective freelancers must have skills and experience in the following areas: - Docker, for providing the backbone of our decentralized system - Federated Learning, to collectively improve our model's performance without sharing raw data - Working with and analyzing operational data - Implementing predictive models, in this case a 3-layer feed-forward neural network and stochastic gradient descent (SGD) The final deliverable will be a robust and efficient predictive maintenance system that effectively uses operational data to improve machine downtime prediction. Your contribution will be essential in minimizing these unexpected halts in industrial activities. Please refer to the linked PPT for more details. I look forward to a ...

...dedicated product or device providing comprehensive analytics on an individual's mental capacity during work. I propose the development of a wearable device that monitors and analyzes cognitive functions, offering insights into flow states, situations of high stimulation, potential burnout risks, and daily mental strain. This innovative device, worn on the head and equipped with EECG/FMRI and other neural/blood flow tracking capabilities, aims to provide real-time data on the user's brain state. The accompanying app, leveraging ML, AI and analytics tools, interprets this data to offer actionable insights. Key features and objectives of the proposed solution include: Flow State Recognition: Identify and analyze periods of optimal focus and productivity to enhance over...

We are looking for a talented and experienced Android/Flutter developer with a strong understanding of AI to join our team for an excit...emerging technologies. If you are a skilled Android/Flutter developer with a passion for AI and are excited about working on innovative projects, we would love to hear from you. Please submit your resume and portfolio showcasing your relevant experience. Features: Cloud-Based AI Services: Reinforcement Learning: Speech Recognition and Synthesis Computer Vision Natural Language Processing (NLP) Neural Networks: Machine Learning (ML) Libraries This is a great opportunity to be part of an innovative project that pushes the boundaries of what AI can do in the realm of user entertainment. Looking forward to discussing this project with qualified fr...

I'm looking for a specialist capable of conducting image classification for facial detection using the YOLOv9 model on Colab. The primary goal is to pin...key tasks include: - Implementing YOLOv9 model on Colab for image classification - Prioritizing faces as the main class for identification and categorization - Enhancing the model to increase its detection degrees of accuracy - Ensuring the solution is scalable and effective The ideal candidate should have robust skills in: - Python programming - Deep Learning (specifically convolutional neural networks) - Proficiency in Google Colab - Prior hands-on experience with YOLOv9 or similar models. Please note that the work does not require detection and classification of specific facial features. It's all about pre...

...an Artificial Neural Network: The primary focus of this project is the implementation of an Artificial Neural Network for precise mask and helmet recognition. Your experience in developing similar systems using ANN will be highly appreciated. - Achieving Accuracy: The desired accuracy level for this system is between 80% and 90%. It's crucial that the model can reliably identify the presence of masks and helmets in real-time. - Compact Deployment: The final system is intended to be deployed within a small device with a Raspberry Pi (watch box dimension). Thus, your experience in deploying ML models on such hardware will be beneficial. Ideal Skills: - Proficiency in Machine Learning: Extensive experience working with machine learning models, especially with Artificial...

I'm seeking a professional in machine learning to help with an automated image classification project. Key requirements: - Experience in machine learning, specifically image classification - Strong understanding of Logistic Regression and Neural Networks - Strong understanding of key concepts within Machine Learning Your responsibilities if you take on this project would include: - Developing and training a machine learning model on images of objects - Training and testing of new model based on ResNet-18 - Testing and optimizing the model for accuracy - Outputting metrics such as accuracy, F1 score, precision recall curves etc - Visualise model performance through relevant plots (e.g., confusion matrix, receiver operating characteristic curve, precision recall curves) - E...

I need an experienced professional who can use Convolutional Neural Networks (CNN) to classify a dataset consisting of user-generated videos. Since this project involves working with user-generated content, the ideal candidate should have prior experience or familiarity with similar work. Key Responsibilities: - Improve search accuracy by effectively classifying the video dataset - Enhance recommendation systems - Analyze user behavior based on classification results Applicants should pay special attention to: - Providing proof of experience in using CNN for video classification tasks - Describing previous successes in improving search accuracy and enhancing recommendation systems, especially with user-generated content. With your expertise, we can properly structure our data...

I have an existing Convolutional Neural Network (CNN) model built in Python that processes audio data preprocessed using Mel-frequency cepstral coefficients (MFCCs). The model currently delivers high accuracy results, but there's an issue - It consistently provides the same answer when applied to different inputs. I need an expert to investigate and resolve this issue, ensuring that the model provides accurate and varied predictions for different audio inputs. Key Requirements: - Review and diagnose the current CNN model. - Identify why the model outputs the same result for different inputs. - Implement necessary modifications to rectify the issue. - Ensure the model maintains its high accuracy while providing diverse predictions for different audio inputs. Ideal Skills and E...

...for a skilled machine learning engineer with a background in medical image analysis to help me develop a system capable of identifying different types of brain tumors from MRI images. The primary objective of this project is to create a reliable classification system that can accurately differentiate between brain tumors (types). The project will involve the development of a 3D convolutional neural network (CNN) along with transfer learning that can process the provided MRI images effectively. Key requirements for this project include: - Extensive experience in machine learning, particularly with CNNs - Proficiency with medical image analysis, particularly with MRI images - Previous experience with brain tumor classification is highly desirable - Strong understanding of transf...

I urgently need a professional who is knowledgeable of the communication protocols associated with smart dust and neural dust technology, to assist with the disabling and removal of these devices from my environment. Key Tasks: - Identify smart dust and neural dust devices within my environment. - Develop a safe and effective method for disabling and removing these devices. - Implement the removal procedure swiftly and effectively. Ideal Skills: - Deep understanding of smart dust and neural dust technology. - Experience in dealing with similar projects. - Ability to work swiftly and efficiently. I need this project completed as soon as possible. Your expertise in this area is greatly appreciated. I'm in Billings MT but im also willing to travel as long as the...

Course 1: Statistics, Probability and SQL Course 2: Machine Learning and Predictive models with Python Course 3: Apache Spark: ML on Big Data Course 4: Deep Learning and Neural Networks Course 5: Gen AI : GPT, ChatGPT, Transformers, and SAN Network Course 6: Developing with GPT using chatGPT with OpenAI API Course 7: LLM Intuition and Implementation Course 8: Artificial Neural Networks and CNN Course 9: Model Deployment : AWS, S3, and SageMaker Capstone Projects: Class time = 6 am IST from tuesday to saturday

I am seeking a skilled professional to enhance the squash equation within the CapsuleNet model to improve its accuracy. Key Requirements: - Experience with CapsuleNet model and its squash equation - Proficiency in neural networks and deep learning - Ability to enhance model accuracy through squash equation modifications If you feel confident in your ability to help me achieve better accuracy through the squash equation, I would love to discuss this further.

I'm in need of a skilled developer who has expertise in deep learning, particularly Convolutional Neural Networks (CNN), and experience with popular frameworks like Tensorflow and Keras. The project will revolve around object detection using images as the primary data source. Key Requirements: - Object Detection: The primary goal of this project is to accurately detect objects in images. It is important that the model is able to identify objects of a specific size, so having experience in this area will be crucial. - Deep Learning Expertise: You should be well-versed in deep learning concepts, particularly CNNs. This will be essential in developing an effective object detection model. - Framework Proficiency: Experience working with frameworks like Tensorflow and Keras is a ...

Looking for a skilled Python programmer to develop a spiking neural network geared for image detection in the medical field. The purpose of this undertaking is to diagnose the presence of diseases. To ensure the best outcomes, we aim to detect a diverse range of diseases. However, it's crucial to have low computational resource demands to facilitate broad implementation. The ideal candidate should have: -Expertise in spiking neural networks -Experience in Python coding -Understanding of medical imaging and diagnostics -Prior work in resource-efficient programming Your assignment involves designing, coding, testing, and refining this disease detection tool.

Project Description: Calling all audio engineers and remix enthusiasts! We're excited to announce a remix contest where you'll have the opportunity to showcase your skills by editing and transforming a classic track. Your challenge is to take the song "Pump It Up" *Danzel and creativ...Libraries Documentation: If you used machine learning scripts and libraries to achieve the voice modification, provide the following: Scripts: Submit the actual code or a detailed algorithm of the process used. Libraries: List all audio processing or machine learning libraries utilized in your project (e.g., LibROSA for audio analysis, PyDub for audio manipulation, TensorFlow or PyTorch for any neural network implementations). Explanation: Describe how each part of your script con...

I'm seeking a capable designer to create an engaging, modern, and innovative logo for my company, Nodusgen AI Solutions Private Limited. The AI should be highlighted of the name and there has to be a neural network pattern or some pattern to signify artificial intelligence somewhere on the logo. Mainly keep "NODUSGEN AI", also keep Solutions Private Limited below it but it should be subtle. Ideal Skills & Experience: - Proven track record in logo design - Strong understanding of color theory - Creativity and problem-solving aptitude - Familiarity with AI and tech companies is a must.

This project is aimed at creating a two-model neural network code, in Python, for classifying a car crash dataset. The dataset I'm working with is from Kaggle's Car Crash CCD. I need a freelancer who can not only create this code but also provide a detailed explanation of the work process and how the models function within the provided code. The freelancer should have: - High level understanding and experience in Python programming - Extensive knowledge and experience with neural networks - Ability to clearly explain complex programming models - Experience with Kaggle datasets is a bonus The scope of the project includes: - Data cleaning and preparation, if needed - Building two neural network models for classification of dataset - Providing a detailed ex...

I'm working on a project that involves evaluating image quality using machine learning on an FPGA. Key Requirements: - The primary goal of this project is to achieve highly accurate results in image quality. - The images I'll be evaluating are mostly photographs. - I'm looking to implement a Convolutional Neural Network (CNN) model for this project. Key Skills/Experience needed: - Proficiency with FPGA development, particularly with VIVADO. - Strong background in image processing and machine learning. - Previous experience with implementing CNN models on FPGA for image quality evaluations would be a great plus. If you're confident in your FPGA skills, have a background in image processing and ML, and have worked with CNN models, I'm eager to hear from yo...

I'm in need of an expert in FPGA and machine learning with a focus on Convolutional Neural Network (CNN) and YOLO algorithms. The primary goal of this project is to evaluate image quality with the maximum possible accuracy. Some key details: - FPGA: Experience with VIVADO is highly preferred. - Machine Learning: A strong background in implementing CNN and YOLO algorithms is essential. - Image Size: The desired input image size is 416x416. The project aims to achieve high accuracy in image quality evaluation through these machine learning algorithms on the FPGA. The freelancer is expected to work closely with me to ensure the project meets the desired outcomes.

This is GENETIC PROGRAMMING NOT a GENETIC ALGORITHM PROJECT I want to do like this one: but genetic programming will be used instead on neural networks. PLEASE ENSURE IT IS GENETIC PROGRAMMING NOT A GENETIC ALGORITHM -the project is all done using Python, and every single line has to be explained "what it does, why it's used" documented and explained -we will develop a genetic programming system that you enter MRI photos for brain tumor -the program will target the tumor, select the tumor with a mark, and calculate its size, define if malignant or benign, and get O(N) The segmentation "and also the fitness function" will be implemented by "Graph Cut Segmentation" and the code will keep improving the equation with every cycle of generation ...

Identification of small water bodies, as well as their identification when it is covered by vegetation. Techniques to be used, either with QGIS, Arcgis, or Arcgis it is not possible, then convolutional neural networks (CNNs), recurrent neural networks (RNNs), and fully convolutional networks (FCN).

I seek a solution-oriented software developer to create a specialized software for my Windows system, which can apply multiple prediction models to an Excel sheet. Key Functions: - Incorporating various prediction models: This includes not only regression, classification, and clustering models, but also decision trees, neural networks, random forests, and support vectors. Ideal Candidate: - Expertise in developing Windows compatible software - Strong understanding of data prediction models - Knowledgeable in Excel functionalities - Ability to integrate sophisticated prediction algorithms The final outcome should be a user-friendly software that enhances my productivity by allowing me to apply versatile prediction models to my data effortlessly.

I'm looking for a skilled Python programmer to assist in building a General Regression Neural Network (GRNN)-GA hybrid specifically for prediction modeling. The model will be 15 inputs variables with 5 outputs variables. The ideal candidate should have experience with: - Python: A strong grasp of Python is essential. - Machine Learning & Neural Networks: Experience with machine learning concepts and neural networks, particularly GRNNs, is a huge plus. - Data Analysis: A background in data analysis is highly desirable, as the project involves translating data into predictive models. - Database Integration: Experience in integrating Python applications with existing databases is crucial as the project will entail integrating the GRNN-GA hybrid model with an exi...

I am looking for an specialist in convolutional neural networks (CNN) to create a three experiments: First experiment Create CNN models that recognize specific objects in bachelor thesis: - Headings – first level heading, subheading and third level heading - Headings text font - Headings text size - Line spacing before and after heading - Other elements in two groups: -- Other elements; -- Footnote references; - Number in front of the heading Each object will be recognised by separated CNN model. Each CNN model will have one class – it will be able to recognise only one object. Second experiment There will be only one CNN model with class for each object from first experiment. Third experiment Create CNN model that can recognize formatting errors in headings. Expe...

I'm looking for a coder with expertise in Python and, ideally, has previous experience with Graph Neural Networks (GNN). The goal is to create a classifier that can distinguish between two classes - 0 and 1 - based on edge weights. Key Task Components: 1. Use of Python programming language for GNN classifier implementation. 2. Incorporate UNSW-NB15 Dataset to structure the graph with nodes and edges. 3. The classifier should focus specifically on the features of edges for classification. 4. Deliverable will be a GNN implementation that will classify edges of the graph using edge features This project requires knowledge of Python, GNN, and familiarity with the UNSW-NB15 Dataset. Your ability to conceptualize, develop and deliver a working GNN classifier, focusing on edge ...