This tutorial requires *jupyter, tensorflow and keras. These can be installed with pip by typing the following in Terminal:
pip install jupyterlab tensorflow keras pandas sklearn
We will be reviewing the materials with Jupyter notebooks. You should be able to type
jupyter-lab
in your terminal window and see the notebook panel load in your web browser.
This tutorial is designed to get the audience training neural networks at the end of a 1-hour session. In particular, it covers areas where neural networks really shines - CNNs and RNNs. These techniques are applied on the Kaggle Titanic, MNIST and Rotten Tomatoes datasets.