https://github.com/sudharsan13296/hands-on-deep-learning-algorithms-with-python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
https://github.com/sudharsan13296/hands-on-deep-learning-algorithms-with-python

adagrad autoencoder capsule-network cnn-math contractive-autonencoders cyclegan deep-learning-math deep-learning-mathematics deep-learning-scratch doc2vec few-shot-learning gans gru lstm-math nadam quick-thought rnn-derivation skip-thoughts tensorflow word-embeddings

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Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

• Host: GitHub
• URL: https://github.com/sudharsan13296/hands-on-deep-learning-algorithms-with-python
• Owner: sudharsan13296
• Created: 2019-05-29T18:39:02.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-10-02T15:27:28.000Z (about 4 years ago)
• Last Synced: 2023-11-07T17:18:46.156Z (about 1 year ago)
• Topics: adagrad, autoencoder, capsule-network, cnn-math, contractive-autonencoders, cyclegan, deep-learning-math, deep-learning-mathematics, deep-learning-scratch, doc2vec, few-shot-learning, gans, gru, lstm-math, nadam, quick-thought, rnn-derivation, skip-thoughts, tensorflow, word-embeddings
• Language: Jupyter Notebook
• Homepage: https://www.amazon.com/gp/product/B07LH43V8P/ref=dbs_a_def_rwt_hsch_vapi_tkin_p1_i3
• Size: 206 MB
• Stars: 314
• Watchers: 21
• Forks: 203
• Open Issues: 0

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