/AE-219

Supervised Learning Project - Deep Neural Networks

Primary LanguageJupyter Notebook

AE-219

Supervised Learning Project - Deep Neural Networks

Exploration of vision based, Generative and Reinforcement Learning Neural Network architectures

Machine Learning Algorithms implemented:

Statistical Machine Learning

  • Decision Trees

Classification Model

  • Capsule Networks (in Tensorflow and pytorch)

Generative Models

  • Vanilla GANs
  • DCGANs
  • InfoGANs

Reinforcement Learning

  • Policy gradients
  • Q-learning
  • Actor-Critic Model