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Tensorflow 2.0 and Keras: what's new, what's shared, what's different

Repository for the talk on Tensorflow 2.0 and Keras: what's new, what's shared, what's different.

Quick start guide

Download and install Anaconda or Miniconda Python 3

Download Anaconda or Miniconda and then install it on your system.

Open a terminal

Clone this repository on your local computer

git clone https://github.com/zerotodeepearning/tf2_keras.git

Change to course folder

cd tf2_keras

Create Conda environment

We provide an environment configuration file with all the required dependencies.

conda env create

wait for the environment to create, this may take a few minutes. Note that this environment is based on Python 3.6 because Tensorflow does not support Python 3.7 yet.

Activate the environment (Mac/Linux)

conda activate tf2_keras

Activate the environment (Windows)

activate tf2_keras

Check that your prompt changed to

(tf2_keras) $

Now you can run jupyter notebook from within the environment.

Launch Jupyter Notebook

jupyter notebook

and access it from your browser at: http://localhost:8888

You are good to go! Enjoy!

Troubleshooting

Updating the environment

If you have previously created the environment and want to update it with the current env file type:

conda env update

Updating Conda

If you have installed Anaconda a long time ago, you may want to update it by running:

conda update conda

and then:

conda update anaconda

Deactivating the environment (Mac/Linux)

conda deactivate

Deactivating the environment (Windows)

deactivate

Deleting the environment

If you decide to completely delete the environment from your system you should use the following command:

conda remove -y -n tf2_keras --all

zerotodeeplearning/tf2_keras