https://github.com/awjuliani/tf-tutorials

A collection of deep learning tutorials using Tensorflow and Python
https://github.com/awjuliani/tf-tutorials

gan resnet tensorflow

Last synced: 2 days ago
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A collection of deep learning tutorials using Tensorflow and Python

• Host: GitHub
• URL: https://github.com/awjuliani/tf-tutorials
• Owner: awjuliani
• Created: 2016-04-07T23:17:06.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2017-03-26T18:07:38.000Z (almost 8 years ago)
• Last Synced: 2025-02-10T20:05:29.596Z (9 days ago)
• Topics: gan, resnet, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 1.16 MB
• Stars: 521
• Watchers: 37
• Forks: 188
• Open Issues: 3
• Metadata Files:
  • Readme: README.MD

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README

        
#Tensorflow Tutorials

This repository contains a collection of miscellaneous Jupyter notebooks which implement or provide a tutorial on a different Deep Learning topic. 

All models are implemented in Tesnorflow.

* **DCGAN** - An implementation of Deep Convolutional Generative Adversarial Network.

* **InfoGAN** An implementation of InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets

* **Deep Layer Visualization** - Tutorial on visualizing intermediate layer activation during MNIST classification.

* **Deep Network Comparison** - Implementations of ResNet, HighwayNet, and DenseNet, for CIFAR10 classification.

* **RNN-TF** - Tutorial on implementing basic RNN in tensorflow.

* **t-SNE Tutorial** - Tutorial on using t-SNE to visualize intermediate layer representation during MNIST classification task.