Timeline:
- Mar. 7, 2019: Tensorflow 2.0 Alpha
 - Jan. 11, 2019: TensorFlow r2.0 preview
 - Aug. 14, 2018: TensorFlow 2.0 is coming
 
make sure you are using python 3.x.
- CPU install
 
pip install tensorflow==2.0.0-alpha0- GPU install
 
Install CUDA 10.0(or after) and cudnn by yourself. and set LD_LIBRARY_PATH up.
pip install tensorflow-gpu==2.0.0-alpha0Test installation:
In [2]: import tensorflow  as tf
In [3]: tf.__version__
Out[3]: '2.0.0-dev20190129'
In [4]: tf.test.is_gpu_available()
...
totalMemory: 3.95GiB freeMemory: 3.00GiB
...
Out[4]: True- 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
 
Feel free to submit a PR request to make this repo. more complete!
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
 
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TensorFlow 2.0的视频教程推荐:深度学习与TensorFlow实战


