📄️ Transfer Learning
Introduction
📄️ Generative Adversarial Networks (GANs)
Generative Adversarial Networks, or GANs, are a class of machine learning frameworks designed by Ian Goodfellow and his colleagues in 2014. Two neural networks contest with each other in a game (in the form of a zero-sum game, where one agent's gain is another agent's loss).
📄️ Reinforcement Learning
Reinforcement Learning (RL) is an aspect of machine learning where an agent learns to behave in an environment, by performing certain actions and observing the results or rewards/results. Today, we're going to implement a simple reinforcement learning algorithm in PyTorch, and train an agent to play a game.
📄️ Natural Language Processing (NLP)
Natural Language Processing, or NLP, is a branch of artificial intelligence that focuses on how computers can understand and manipulate human language. In this tutorial, we'll learn how to use PyTorch, one of the leading deep learning libraries, to perform NLP tasks.