Implementation Word2Vec embedding layer using the IMDB sentiment analysis dataset and gensim.
Implementation of an LSTM in Keras for sentiment analysis on the IMDB sentiment analysis dataset.
Implementation of Bidirectional LSTM which improved accuracy from 0.8339 baseline to 0.87432.
Implements a CNN in Keras for image classification on the CIFAR-10 dataset (https://www.cs.toronto.edu/~kriz/cifar.html). My model: 83.87% validation accuracy in 10 epochs, and 88.17% after 25 epochs.
Implementation of Q-learning using the OpenAI Gym environment.
Implementation of Deep Q Network for Ms Pacman using OpenAI Gym and Keras.
Uses Inception model as a pretrained feature extractor on CIFAR-10.