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-alpha0
Test 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