Machine Learning Pipeline

Regression

Binary and Multi-class Classification

Recap

Environment Set-Up for Windows

Environment Set-Up for Mac & Linux

Training and Testing

Using TensorBoard to Visualize Learning

Google Colaboratory for Free GPU/ TPU Access, Saving to Google Drive

Problem Description and Data View

Pre-processing the Data

Loading Data and Getting the Shapes Right

Train, Test Split

Shapes in Depth (or how not to have headaches for days)

Sequential Model

Functional API

Basics and Rationale

CNN in Keras (or why Keras is better than your ML tool)

Pooling (and why it’s not that important)

Dropout

Functional API for CNN

Inception Module

Residual Connections

Saving and Loading Model Weights

Parting Words