https://github.com/zotroneneis/tensorflow_deep_learning_models

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
https://github.com/zotroneneis/tensorflow_deep_learning_models

cnn cnn-tensorflow convolutional-neural-network convolutional-neural-networks deep-learning ipynb machine-learning notebook python recurrent-neural-network recurrent-neural-networks rnn rnn-tensorflow tensorflow vae variational-autoencoder

Last synced: 5 days ago
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TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

• Host: GitHub
• URL: https://github.com/zotroneneis/tensorflow_deep_learning_models
• Owner: zotroneneis
• Created: 2017-04-17T14:47:56.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2018-06-26T22:09:56.000Z (over 6 years ago)
• Last Synced: 2025-01-17T11:06:27.304Z (13 days ago)
• Topics: cnn, cnn-tensorflow, convolutional-neural-network, convolutional-neural-networks, deep-learning, ipynb, machine-learning, notebook, python, recurrent-neural-network, recurrent-neural-networks, rnn, rnn-tensorflow, tensorflow, vae, variational-autoencoder
• Language: Jupyter Notebook
• Homepage:
• Size: 12 MB
• Stars: 37
• Watchers: 3
• Forks: 14
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Deep learning models in TensorFlow

This repository contains jupyter notebooks implementing several deep learning models using [TensorFlow](https://www.tensorflow.org/). Each notebook contains detailed explanations about each model, hopefully making it easy to understand all steps.

The notebooks run in **Python 3.6, Tensorflow 1.8**

Models:

- [Basic Variational Autoencoder](basic_variational_autoencoder.ipynb)

- [Improved Variational Autoencoder](improved_variational_autoencoder.ipynb)

- [Recurrent Neural Network](RNN_MNIST.ipynb)

- [Convolutional Neural Network](CNN_MNIST.ipynb)