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https://github.com/zerotodeeplearning/tf2_keras
Repository for the talk: Tensorflow 2.0 and Keras: what's new, what's shared, what's different
https://github.com/zerotodeeplearning/tf2_keras
Last synced: about 2 months ago
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Repository for the talk: Tensorflow 2.0 and Keras: what's new, what's shared, what's different
- Host: GitHub
- URL: https://github.com/zerotodeeplearning/tf2_keras
- Owner: zerotodeeplearning
- License: mit
- Created: 2019-02-26T17:34:04.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-08-27T21:35:22.000Z (over 5 years ago)
- Last Synced: 2024-08-01T03:14:38.071Z (4 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 35.2 KB
- Stars: 9
- Watchers: 3
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-tensorflow-2 - Tensorflow 2.0 and Keras: what's new, what's shared, what's different
README
## [Check our Zero To Deep Learning 5 day bootcamp. New dates are out!](https://www.zerotodeeplearning.com/?utm_source=github.com&utm_medium=affiliate&utm_campaign=https%3A%2F%2Fgithub.com%2Fzerotodeeplearning%2Ftf2_keras&utm_content=README.md)
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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.
[Slides](http://bit.ly/2Wd9xpu)
## Quick start guide
#### Download and install Anaconda or Miniconda Python 3
Download [Anaconda](https://www.anaconda.com/distribution/) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html) 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](environment.yml) 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
```