- Python 2.7 o greater
- Install conda
- Create virtual environment
conda env create -f environment.yml
- Start enviroment
source activate tf
- Start jupyter notebook
jupyter notebook
- Open the link displayed on notebook start log
- How Data Science Works
- How deep neural network works
- How Convolutional Neural Networks work
- Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
- Tensorboard Intro
- Tensorflow dev submit
Run the following command
conda env export > environment.yml
There are two possible methods in turn:
docker run -it -p 8888:8888 mschonaker/ai-workshop
Once on the command prompt run:
source activate tf
and then
jupyter notebook --ip=0.0.0.0 --allow-root
cd ai-workshop && docker build -t ai-workshop .
Then running:
docker run -it -p 8888:8888 ai-workshop
Once on the command prompt run:
source activate tf
and then
jupyter notebook --ip=0.0.0.0 --allow-root