Kerasεργασίες

I am working on an image recognition CoreML ios app and I have converted my CNN keras model to .mlmodel to be deployed on CoreML mobile application but I'm getting this error message: "coremlc: Error: compiler error: Espresso exception: "Invalid argument":generic_reshape_kernel: Invalid bottom shape (64 8 -2 1 1) for reshape to (4096 -1 1 1 1)Command CoreMLModelCompile failed with a nonzero exit code" This is the only error message I get when running the app. What is the source of this error and how to fix it? I am glad to corporate with someone with Convolutional Neural Network (handwritten word/ image recognition) and CoreML background. Thank you

I am working on an image recognition CoreML ios app and I have converted my CNN keras model to .mlmodel to be deployed on CoreML mobile application but I'm getting this error message: "coremlc: Error: compiler error: Espresso exception: "Invalid argument":generic_reshape_kernel: Invalid bottom shape (64 8 -2 1 1) for reshape to (4096 -1 1 1 1)Command CoreMLModelCompile failed with a nonzero exit code" This is the only error message I get when running the app. What is the source of this error and how to fix it? I am looking for someone with Convolutional Neural Network (image recognition) and CoreML background. Any help would be appreciated, Thank you.

Hi, I need assistance in analyzing graphs that I have generated using keras. I want to understand what is happening in the two graphs in regards to which one is better and how it the data did better. Also, which graphs did bad and why.

The objective of the project is to gain some experience applying the Machine Learning techniques discussed in class. You will demonstrate your knowledge of these techniques in the context of a Supervised learning techniques such as Deep Neural Networks with Jupyter notebook, Theano, TensorFlow, Keras and Machine learning libraries in python on real datasets such as Novel Coronavirus or Titanic data. Data:​​​​​​​​​ Download the Novel Coronavirus dataset or titanic data set given below in the link, passenger ?patients survival data for the Titanic/Coronavirus

Dear Sir/Madam i want a code i can run it in my PC , using CNN image classification at less two conventional and two max pooling. thrining 70%, testing 15% and validation 15%. i have the dataset I can share it with. but I HAVE TO RUN THE CODE IN My PC this so important for me using python anconda keras. the dataset of 4 catugrical

...Jupyter notebook, Theano, TensorFlow, Keras and Machine learning libraries in python on real datasets such as Novel Coronavirus or Titanic data. Data: Download the Novel Coronavirus dataset or titanic data set given below in the link, passenger ?patients survival data for the Titanic/Coronavirus or Perform the below Tasks using DNN or CNN or RNN I. Run a Deep Neural Network (feed forward neural network) with two hidden layers and ReLU activation function on the titanic dataset using the keras a. Load the data from the csv file b. Build the Neural Network Classifier model using Keras c. Compile the model d. Setup Division

am doing some course online about data analysis, and we're using pycharm, i have 0 knowledge in it and they want us to download both tensorflow and keras and i am all missed up, i need someone to install them for me, remote access my laptop and install them also i have an error in pycharm which says "connecting to console" i need it to be fixed

...notebook, Theano, TensorFlow, Keras and Machine learning libraries in python on real datasets such as Novel Coronavirus or Titanic data. Data: Download the Novel Coronavirus dataset or titanic data set given below in the link, passenger ?patients survival data for the Titanic/Coronavirus or Perform the below Tasks using DNN or CNN or RNN I. Run a Deep Neural Network (feed forward neural network) with two hidden layers and ReLU activation function on the titanic dataset using the keras (10 Marks) a. Load the data from the csv file b. Build the Neural Network Classifier model using Keras c. Compile the model d

Hyper Parameter Tuning 1. How Should you Architect Your Keras Neural Network: Hyperparameters (8.3) 2. Machine Learning Tutorial Python - 16: Hyper parameter Tuning (GridSearchCV) 3. How to Grid Search Hyperparameters for Deep Learning Models in Python With Keras Provided baseline code also complete convolution

I have some deep learning project. It has two inputs one is text and other is image and one output that is text.I need a small help.I will give more details in dm

...project is first only a consultation that should provide me with all necessary information to do this setup myself. That should be done via Skype / Webex and I think it will take about an hour. For seminars, I would like to provide to the participants in their browser with R and RStudio, Python (Anaconda) and Jupyter notebooks, MySQL database and Apache Superset. In Python and R e.g. TensorFlow and Keras have to be installed. I did some research on how to do it: Option 1 would be: - A complete Ubuntu system with Apache Guacamole for VNC, so that the system can be accessed via the browser. - In the system installation of R, RStudio, Python, Jupyter, MySQL, Apache Superset Option 2 would be: - The Littlest JupyterHub () with Python, R and R Studio

Hello, my project is about creating a classifier that uses a dataset including both text and images. I have already made two classifiers on my dataset with Python and Tensorflow, one for the images and one for the text, and now I need to make appropriate modifications to these two in order to make a new third classifier that uses features and informations from my text and images. I need someone that can help me making this job and explain how is done. Contact me if you are interested, thank you!

Looking for 1 ML/CV Engineer to develop a deep-learning model that will be able to read 2D Interior Design Floor Plan (Upload as PDF, PNG, JPG, ETC). The trained model will ...2D Interior Design Floor Plan (Upload as PDF, PNG, JPG, ETC). The trained model will need to be able to categorise the Floorplan into Area, Room and Furniture, and its relative x,y coordinate into JSON format. So that frontend developer will be able to consume those data. Preference will be given to someone with experience/capable in: - Cloud services like AWS - CV frameworks like TensorFlow, keras, etc. - GIT repository - Candidates with the ability to communicate in English or Chinese is preferred. While applying please apply with your CV/Resume and portfolio. Mention your email in the first line of your...

Python classification for real-time IoT sensor data using Tensorflow/Keras for an auto encoder/LSTM for normal behavior classification.

There is one deep learning chatbot using Django, Python, and Keras. I want the ML specialist who can deploy this bot on the kubernetes. It is one among the on-going project.

Hi, Looking for anyone, any person who are reliable and skilled in Opencv, Tensorflow, Keras.. Will share more details with right candidates.

The assignment is about neural networks and deep is from Kaggle the topic is right whale recognition.I want output cab file to submit and code should be in python with keras or tenserflow.

requirements: 1. detect the ships in the SAR image 2. use at least deep learning methods to approach the ship detection. 3. use python combining keras to develop codes. 4. need a detail document to illustrate the ideas and methodology. 5. represent the whole procedure of this project on the slides (PPT is preferable)

Job description • Minimum Education - Accredited Bachelor's degree • Experience - minimum 3 years of experience in Artificial intelligence/Machine learning • Requirements - o At least 2 commercial product development project experience (preferably in Pytorch). o Hands-on coding/development experience in Pytorch. Keras and TensorFlow (acceptable for the right candidate). o Extensive knowledge of Python programming, Python libraries, and Linux platform. R would be a plus. • Required Resources – 2 • Type - Contract Initial for 3 months/Part timers • Work type - 100% Remote • Timings - Flexible hours (Can be based anywhere in the world)

In need of a skilled and experienced NLP/ML developer for long term project. This candidate would be responsible for supporting the creation of a self-learning NLP application, where data can be analyzed for semantic identification and similarity. Requ...Knowledge in Javascript, XML, JSON, API concepts, MERN Deep understanding of text representation techniques (such as n-grams, bag of words word embeddings, word2vec, sentiment analysis etc), statistics and classification algorithms. Experience in semantic analysis using deep learning and machine learning tools and libraries. hands-on experience in deep learning frameworks, e.g OpenCV, Tensorflow, Keras, Pytorch, or Caffe. Experience in creating training models and running evaluation experiments against the models. Strong communicat...

I am looking for someone familiar with pix2pix library. Basically we are writing an article about the increase use of pix2pix by practitioners in Artificial Intelligence and Machine Learning. You must have solid understanding of Machine Learning, Artificial Intelligence, and specially generative networks (more precisely pix2pix). Project d...explaining layer by layer functioning of Pix2pix network. Reference links for Pix2pix:

Hello, Want to have a 1-2 hour call with TOP resource that has extensive knowledge with object detection for better understanding on how things work, best tools, and solution. - Python -TensorFlow - Keras - Deep learning - Machine learning - Neural networks

...now is looking for NLP expert who can create an efficient English short text similarity algorithm based on the Chinese data set provided by the company (we will provide you with machine translation engine API designed by our company). Each question submitted by users should be given a score from 0 to 1 based on its similarity rate to the original set of questions. You can use tensorflow or keras K-means to create clusters to enhance accuracy or any other OPEN SOURCE algorithms to achieve excellent result based on the standard evaluation ratings of accuracy, precision, recall and F1-score. For example, Knowledge-based measures quantify semantic relatedness of words using a semantic network. Many measures have shown to work well on the WordNet large lexical database for English...

...now is looking for NLP expert who can create an efficient English short text similarity algorithm based on the Chinese data set provided by the company (we will provide you with machine translation engine API designed by our company). Each question submitted by users should be given a score from 0 to 1 based on its similarity rate to the original set of questions. You can use tensorflow or keras K-means to create clusters to enhance accuracy or any other OPEN SOURCE algorithms to achieve excellent result based on the standard evaluation ratings of accuracy, precision, recall and F1-score. For example, Knowledge-based measures quantify semantic relatedness of words using a semantic network. Many measures have shown to work well on the WordNet large lexical database for English...

I want to reimplement an object detection network on my data to save the detected images and non-detected objects of an image in folders

I have a working implementation of a multivariate, multistep time series prediction using LSTMs on stock ticker data (OHLC). I wanted to extend this by adding some additional features (Technical Indicators) and scaling the input data as the new features are not of the same magnitude as the price. I can add the features and scale the input data, train the model and make predictions but I'm struggling to invert the scaling. Below is the github address with the problem laid out in a Jupyter Notebook. I need someone to get the scale inversion working for me on BOTH a single prediction (for e.g X_test[0], y_test[0]) and on the entire test set in a single step (for eg. X_test, y_test). Github:

Looking for someone to write a Keras binary classifier. You shouldn't need to do any data cleaning, or feature engineering. Looking for a binary classifier which will get around .65-.70 accuracy. I will test on some holdout data but you should be able to divide up some of the data which I send over

Mandatory version to use: Keras: 2.2.4 Python: 3.6.6 Build a possible Feedforward Neural Netowrk for classifying a target class. Dataset contain around 65000 rows 1 target column and 22 predictors columns. The output of the network should be a probability of being 1 or 0 (the two target values). An accuracy of at least 75% should be reached. The data are already normalized i need it in the small possible amount of time (max 2 days). i can not pay more than 60€

Senior Data Scientist Python, R, Knime (or similar)), databases (SQL/NoSQL). Experience in Keras, TensorFlow and/or PyTorch. Natural language processing (NLP), ideally with respect to transfer learning. Create clear visualizations in relevant packages/software (e.g. ggplot, tableau, Microsoft BI, seaborn). Experience in the development of APIs in microservices for a variety of platform requirements. Azure Cloud experience Experience of cloud technologies, ideally AWS and Azure Linux & Unix administration experience Basic experience of databases (Oracle, MySQL or MSSQL), DNS and monitoring concepts Data cleansing and data transformation experience Experience assisting infrastructure management with capacity planning Experience pushing data to MS SQL and Azure storage tables Exper...

Must have: Semantic semantic network (SPARQL, linkde Data, RDF, OWL, swrl, RuleMl, etc.); Experience with ontologies ; Experience in operating and / or developing a knowledge storage system; Expe...(particularly graph databases); Experience with microservice architectures; Experience with Machine Learning (techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision tree, clustering, artificial neural networks, etc.); Experience Deep Learning; Experience in Natural Language Processing and in particular Information Extraction; Experience with standard data technologies Science (PyTorch, Pandas, Keras, SciPy, SciKit, Tensorflow,NumPy, MatLab, etc.); Experience in creating storage architecture and data processing and knowledge (data architectures, data models, data warehouses/da...

Hi I would like to use multiples GPU to run this script to speed up.

PT. ALNATURE TRAVEL Membuka kesempatan berkarir sebagai : 1. Marketing Tetap 2. Marketing Freelance Persyaratan : • Pendidikkan minimal : D3 (1), SMA (2) • Diutamakan berpengalaman dalam penjualan produk Umroh & Haji • Mempunyai relasi atau jaringan yang luas • Percaya diri, berpenampilan rapi dan menarik • Aktif, pekerja keras, target oriented • Dapat mengendarai motor SIM C (1,2,3) • Dapat bekerjasama dalam team Fasilitas : Gaji Pokok, Insentif, Bonus Lamaran dikirim ke: Jl. Cibaduyut Raya No. 142 Ruko M Square Blok C No. 1

Real world project. all the sources are provided and can be found in the link bellow. you only have to follow the step to install it. Requirements I would like to to add another component to that model which is 'GAN' generative adversarial network and seek good results of this changes.

KNIME Machine Learning 1. You will be a KNIME specialist 2. You will know Keras and TensorFlow 3. You will know how to use Keras in knime 4. I want to build an example RNN using Keras in KNIME 5. Will provide sample data for right candidate This project pays 20USD. Thanks, Leon

...pdf - Hierarchical Convolutional Attention Networks for Text Classification, Gao et al., ACL 2018). It would be desirable and interesting to explore simplified versions of this architecture, or other variants of a convolutional neural network. to give me : - A detailed notebook presenting the study (description of the corpus, the task, the protocol evaluation, implementation of the model (s) in Keras, experimental results). - A report (some pages) who describe the best CNN that you will have developed to help you : projet .ipynb - a little structure of the project...

...The freelancer must know how to develop a model using TensorFlow or Keras and also know to run and train the model in Amazon AWS EC2 Cloud Instance (Virtual Machine) in a Linux Environment. Also the Food Images are not labelled hence we need an unsupervised algorithm which would automatically recognise the ingredients present in Food item without actually knowing the Food. Please read this paper to get an idea of the project: In the paper they have identified the "Recipe" and "Ingredient" from the "Food Image" but we want someone to detect and identify only the "Ingredients" alone. There are more than 1 M food images and you have train and develop the model using Tensorflow or Keras library in Amazon AWS Cloud Instance in a Linux E...

I require a freelancer expert enough in both Mathematica and Deep Learning/Python (i.e., Tensorflow, Keras, Torch, MXNet, etc.) to translate four models from python into Mathematica: BigGAN, Wavenet, VQ-VAE, PGGAN. The translations will include Wolfram Language coding of custom layers, loss functions, regularization methods, and most significantly, means of training, all corresponding exactly as is possible to the python source and/or academic reference paper for the model in question. In addition to translating these four models, I also require means of training three other models-- the general architecture of which were already translated--in Mathematica. Finally, I require some custom net encoders/decoders. If you would like details about the project, please let me know, I...

I require a programer expert enough in the Wolfram Language (i.e., Mathematica and its Neural Net Framework) and Python (i.e., Tensorflow, Keras, Torch, etc.) to translate four models from python into Mathematica: BigGAN, Wavenet, VQ-VAE, PGGAN. These translations will need to include coding custom layers, loss functions, regularization methods, and most significantly, means of training in Mathematica, corresponding to the relevant python source and/or academic reference paper in question. In addition to translating these four models, I also require means of training three models already translated and available architecturally (Cyclegan, pix2pix, SRGAN) in the Wolfram Language. Finally, I require three custom NetDecoders, two of which would correspond to NetEncoders that are ...

Hi! thanks for willing to work in this project with me. This is what I am looking to do in the initial part of the project. - Use Python 3.x, Jupyter Notebook and related libraries (OpenCV, TensorFlow, Keras), upto you. - I have an image with a circle drawn - In the image there is also multiple dots (*) including the circle - I want to know how many dots are inside the circle and how many are out side the circle - I need the program to simply return the number of dots inside the circle and outside the circle - I need the program to give me the probability that the object is a dot in image (*)... eg: dot: 0.96 - I will give you and example once you inquiry and read the requirements How it will work (4 steps): - In the Jupyter notebook, I upload an image (png, jpg, etcs) - The cod...

I am working on a convolution neural network for Dogs Cats, Lizards and I have two variables / numpy arrays ( I want this to run as a categorical_crossentropy) 1. ImagePixels 2. ImageGrouping But when I run this line in jupyter notebook (ImagePixels, ImageGrouping, batch_size=32, epochs=100, validation_split=0.2) I get the following error ValueError: A target array with shape (21356, 3) was passed for an output of shape (None, 1) while using as loss `categorical_crossentropy`. This loss expects targets to have the same shape as the output I dont quite understand this error I have already run this line from import np_utils ImageGrouping=np_utils.to_categorical(ImageGrouping) Witch I thought would have gotten the data into the format wanted.

...then welcome to the Techolution! Title : Sr ML Engineer Location: Hyderabad Job Requirements: Must have experience with working on Recommendation Systems. Must be well-versed with deep learning frameworks such as TensorFlow or Keras. Must be proficient in Python and other machine learning languages Deep understanding of data structures, data modeling, and software architecture. Ability to conduct a rigorous analysis of data and chart out clear take away(s) from Big Data sources. Python packages such as Numpy, Scipy, Pandas, Sklearn, Matplotlib and Tensorflow/Keras. Experience with various messaging systems, such as Kafka or RabbitMQ will be considered a plus Should possess the ability to design solutions independently based on high-level architecture. Deploying the mod...

I am a highly experienced Data Scientist and visualization professional with a focus on maximizing customer satisfaction and exceeding business objectives with conscientious and detail-oriented approaches. I have proven track record in data science, data visualization, data analysis and databases management. I hold H...from analysis of simple to complex datasets. Ability to intuit, understand and communicate the meaning of data analyses with individuals in a wide range of strategic and operational roles, in both written and oral form Strong business analysis skills and deep understanding of analytics Tools: Databases Management Systems: SQL server, NoSQL, MySQL Machine Learning: Scikit Learn/Scipy, tensorflow, Keras, OpenCV Analytical Tools: Pandas/Numpy/Python, PostgreSQL, Micro...

Παρακαλούμε Κάνε Εγγραφή ή Κάνε Είσοδο για να δεις λεπτομέρειες.

...requirements: 1. Front-end is built using React, Redux, Thunk (w/Sagas preferred, babel required, git preferred) 2. Data and Auth are managed using the Firebase Api 3. An API is served, via Node.js/Python3, from Heroku or similar 4. The API receives numerical data from the front-end (retrieved from Firebase), processes it with a Python3 model (can be simple Linear Regression, prefer TensorFlow2/Keras) and sends the result back to the front end for display I'm imagining the WebUI being quite simple {sign-in/sign-out in header, form or text fields or drop-downs for selecting data from Firebase, button to fetch and send the data to the API, graph to display input and resulting output data}. The data can be something well-know from Kaggle, the model can also be from a free th...

...then welcome to the Techolution! Title : Sr ML Engineer Location: Hyderabad Job Requirements: Must have experience with working on Recommendation Systems. Must be well-versed with deep learning frameworks such as TensorFlow or Keras. Must be proficient in Python and other machine learning languages Deep understanding of data structures, data modeling, and software architecture. Ability to conduct a rigorous analysis of data and chart out clear take away(s) from Big Data sources. Python packages such as Numpy, Scipy, Pandas, Sklearn, Matplotlib and Tensorflow/Keras. Experience with various messaging systems, such as Kafka or RabbitMQ will be considered a plus Should possess the ability to design solutions independently based on high-level architecture. Deploying the mod...

...engines using machine learning techniques in Health care domain is Mandatory Job Requirements: Must have experience with working on Recommendation Systems. Must be well-versed with deep learning frameworks such as TensorFlow or Keras. Must be proficient in Python and other machine learning languages Deep understanding of data structures, data modeling, and software architecture. Ability to conduct a rigorous analysis of data and chart out clear take away(s) from Big Data sources. Python packages such as Numpy, Scipy, Pandas, Sklearn, Matplotlib and Tensorflow/Keras. Experience with various messaging systems, such as Kafka or RabbitMQ will be considered a plus Should possess the ability to design solutions independently based on high-level architecture. Deploying the mode...

What to build an image using advanced machine learning techniques such as GAN, Lucid, keras, tensorflow, deep learning, CNN, image manipulation, etc.

Someone is needed to give a training in advanced machine learning techniques such as GAN, Lucid, keras, tensorflow, deep learning, CNN, image manipulation, etc.

I have done the following steps. conda create -n gpu python=3.7 conda activate gpu pip install ipykernel==4.8.0 python -m ipykernel install --user --name object --display-name "gpu" conda install tensorflow-gpu=1.15.0 conda install jupyter pip install cython pip install contextlib2 pip install keras pip install pillow pip install lxml pip install jupyter pip install matplotlib cd Desktop cd models-master cd research C:/Protoc/bin/protoc object_detection/protos/*.proto --python_out=. python build python install python object_detection/builders/ But for some reason when I finally run that last line to run the test script I get an error saying ModuleNotFoundError: No module named 'nets' I just want help getting the dang tensorflow object detection stuff

The project's goal is extraction of relevant phrases from a larger corpus (~200k) containing short English product reviews, annotated with ratings (1-5 stars). The texts (in JSON-format) should be used to train a machine learning model in order to extract the relevant phrases for each product from the review text. Implementation is requested in Python (tensorflow/keras, sklearn, nltk, gensim and/or spacy). More details upon awarding of the project via chat.