dragen1860/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
About dragen1860/TensorFlow-2.x-Tutorials
dragen1860/TensorFlow-2.x-Tutorials is an open-source project on GitHub, mainly written in Jupyter Notebook. TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。 It currently holds 6,339 stars and 0 forks with 0 open issues, and was last pushed on an unknown date (repository created unknown).
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GitHub Repository Details
README
TensorFlow 2.0 Tutorials
Our repo. is the Winner of ⚡#PoweredByTF 2.0 Challenge!.
Timeline:
- Oct. 1, 2019: TensorFlow 2.0 Stable!
- Aug. 24, 2019: TensorFlow 2.0 rc0
- Jun. 8, 2019: TensorFlow 2.0 Beta
- Mar. 7, 2019: Tensorflow 2.0 Alpha
- Jan. 11, 2019: TensorFlow r2.0 preview
- Aug. 14, 2018: TensorFlow 2.0 is coming
Installation
make sure you are using python 3.x.
- CPU install
pip install tensorflow -U
- GPU install
CUDA 10.0(or after) and cudnn by yourself. and set LD_LIBRARY_PATH up.
pip install tensorflow-gpu -U
Test installation:
In [2]: import tensorflow as tf
In [3]: tf.__version__
Out[3]: '2.0.0'
In [4]: tf.test.is_gpu_available()
...
totalMemory: 3.95GiB freeMemory: 3.00GiB
...
Out[4]: True
配套TF2视频教程
TensorFlow 2.0的视频教程链接:深度学习与TensorFlow 2实战
Acknowledgement
- 爱可可-爱生活 友情推荐

Includes
- TensorFlow 2.0 Overview
- TensorFlow 2.0 Basic Usage
- Linear Regression
- MNIST, FashionMNIST
- CIFAR10
- Fully Connected Layer
- VGG16
- Inception Network
- ResNet18
- Naive RNN
- LSTM
- ColorBot
- Auto-Encoders
- Variational Auto-Encoders
- DCGAN
- CycleGAN
- WGAN
- Pixel2Pixel
- Faster RCNN
- A2C
- GPT
- BERT
- GCN
Refered Repos.
Our work is not built from scratch. Great appreciation to these open works!
- https://github.com/madalinabuzau/tensorflow-eager-tutorials
- https://github.com/herbiebradley/CycleGAN-Tensorflow
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/pix2pix/pix2pix_eager.ipynb
- https://github.com/moono/tf-eager-on-GAN
- https://github.com/Viredery/tf-eager-fasterrcnn
- https://github.com/github/gitignore/blob/master/Python.gitignore