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nanodegree

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TefiC
TefiC commented Jan 6, 2018

Hi! We really need more links to helpful resources for each Nanodegree. We really appreciate your collaboration. If you have found a resource helpful during your Nanodegree, we appreciate your contribution to the project.

If this is your first contribution to an open source project, welcome! This project is perfect for you. You can practice version control skills and make your first pull reques

Explore the similarities and differences in people's tastes in movies based on how they rate different movies. Can understanding these ratings contribute to a movie recommendation system for users? Let's dig into the data and see.

  • Updated Jul 26, 2018
  • Jupyter Notebook

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.

  • Updated May 12, 2020
  • Jupyter Notebook

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