https://github.com/nvinayvarma189/deep-learning-with-tensorflow

This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one
https://github.com/nvinayvarma189/deep-learning-with-tensorflow

autoencoder cnn deep-learning gan matplotlib neural-network numpy pandas python3 reinforcement-learning rnn tensorflow

Last synced: 20 days ago
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This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. It will explain you the basics of tensorflow. You can visualize how tensors flow through a grapg while you create one

• Host: GitHub
• URL: https://github.com/nvinayvarma189/deep-learning-with-tensorflow
• Owner: nvinayvarma189
• Created: 2018-07-20T16:07:34.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-12-10T14:16:09.000Z (about 6 years ago)
• Last Synced: 2024-10-28T00:23:03.076Z (2 months ago)
• Topics: autoencoder, cnn, deep-learning, gan, matplotlib, neural-network, numpy, pandas, python3, reinforcement-learning, rnn, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 11.7 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Deep-Learning-with-Tensorflow

This repo consists all the basics of tensorflow and all major Deep Learning algorithms and techniques implemented in tensorflow. You can absolutely start from Zero. Just have the patience to google your error and stack overflow is the saviour. Most of the code is documented. If anything is uncertain or unclear to you, please let me know. Thank you.