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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
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Metadata Files:
- Readme: README.MD
Awesome Lists containing this project
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.