This repository contains my work on Advanced Deep Learning concepts using Keras with Tensorflow as Backend. Contains implementations of
- Basic Keras Functional API
- Categorical Embedding
- Two-Input Network, Shared & Merged Layers
- Multiple Input-Output
I have used 2 data-sets in this repository. The data-sets correspond to the college basketball data from 1989-2017. The 1st data-set(games_season) has the following features
- Team ID 1
- Team ID 2
- Home vs Away
- Score Difference(Team 1-Team 2)
- Team 1 score
- Team 2 score
The second data-set(games_tourney) is the data-set on which we will be predicting and is the same as games_season with an additional feature of Seed Difference(seed_diff)