Applying Knowledge Distillation for Instance Segmentation using Mask RCNN (Tensorflow and Keras)

Hello there, Does the student model have the same architecture as the teacher model or different architecture? Which distillation method do you want to use? Online distillation or offline. Also, could you send me some samples of the dataset and tell me the size of it? Contact me over chat to talk more about the details. I have +4 years of experience working with Python. Also, I have worked with different frameworks such as Tensorflow and Pytorch and with different libraries such as sci-kit learn, pandas, Matplotlib, NumPy, etc. Best regards

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Hi there,I'm biddin on your project "Applying Knowledge Distillation for Instance Segmentation using Mask RCNN (Tensorflow and Keras)" I have read your project description and i'm an expert in Python and machine learning therefore i can do this project for you perfectly.I still have a few questions. please leave a message on my chat so we can discuss the budget and deadline of the project. Thanks. .. .

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Dear client! Please see my portfolio. I have experiencies with Machine Learning and Deep Learning with Python. I will make your project perfect. I will start work immediately. Let's discuss more in detail. Thanks.

Hi, i can definitly help you apply knowledge distillation to your problem, contact me for further discussion.

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I have a lot of experience with knowledge distillation techniques and I have done many research on computer vision in general. I have two master's degrees and I am willing to be present to help you understand the models and implement them and test them.

HhI I can start right now but i have few doubts and questions lets have a quick chat and get it started waiting for your replyyy

Dear sir, As a python developer, I have 7+ years of experience in AI projects. Some of my expertise are: - Machine Learning/Deep Learning: OpenCV, CNN, RNN, Scikit-learn, Keras, Tensorflow, PyTorch, and more. - NLP: Nltk, Spacy - Data Visualization: Matplotlib, Seaborn and more. - Data manipulation: Pandas, Numpy, and more. Please feel free to contact me to set up a time to chat. I look forward to hearing from you. Sincerely

I'm a senior Python & ML developer and owner & founder of Dedeoglu Dev Company. Kindly send me a message to get in touch with me, Thanks, Yusuf.

Hello; I am working as a research and development manager in a private company. I have more than 5 years of experience in artificial intelligence algorithms. I am doing my master's degree on this subject. I have implemented numerous projects on deep learning and machine learning. I specialize in libraries such as Tensorflow, OpenCv. U-NET and Mask Rcnn are the classification algorithms I use the most. I also have a new algorithm that I created from the combination of these two algorithms. I wrote this myself. I have read and understood your project. Please write to me for details.

Hey Sir, I am Oussama Yousr, a machine learning engineer, I've Seen your project and I think I am able to Complete it as a high quality product. I've already used Mask rcnn as well as detectron2 and fast R-cnn, I also have a knowledge in using teacher ans student models in keras and tensorflow . Regards.

Dear there, Let's have a chat for me to help you. I'll give the best results for you. Please provide me the details requirements and from there we'll go together to solve your problem. Thank you. Best regards, Aiman

Hi I hope you are doing fine. I have seen your project requirements, I am looking to discuss them further with you I can help to do this task perfectly and within a short time. I have extensive experience in:- ▶python: Pandas, Numpy, Matplotlib ▶Data Visualisation / EDA: Bar plots, Histogram, Candle chart, scatterplots, box plots, Principal Component Analysis, etc ▶Machine learning: Linear Regression, Logistic regression, Lasso Regression, Random Forest, Decision tree, Kmeans clustering, KNN, SVM, Xgboost, Naive Bayes, Recommendation engines, Time Series Forecasting, Spatial Analysis. ▶Deep Learning: Neural networks, CNN, ANN, RNN, LSTM, Pytorch, Tensorflow ▶Computer Vision: OpenCV, Image Processing, Object Detection, Optical Character Recognition, Pattern Recognition ▶NLP: Word cloud, Sentiment Analysis, NLTK Looking forward to working with you.