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TensorFlow 2.0 Tutorials
Timeline:
- Jan. 11, 2019: TensorFlow r2.0 preview
- Aug. 14, 2018: TensorFlow 2.0 is coming
TensorFlow 1.0 is out-of-date!
We have TensorFlow 2.0 finally.
Let's get started!
Installation
- CPU install
pip install tf-nightly-2.0-preview
- GPU install
pip install tf-nightly-gpu-2.0-preview
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
Lesson1
Simple classification example to show you how to train, load/save checkpoint, evaluate with new TF 2.0.
Lesson 14
4 ways to achieve simple MNIST classifcation with TF 2.0.
- keras compile & fit
- forward and backward with keras standard layers.Dense
- forward and backward with keras subclassing custom layer
- forward and backward with tf.matmul
Lesson 15
train CIFAR10 dataset with VGG16 network.
Description
Languages
Jupyter Notebook
93.3%
Python
6.7%
