9.1 Neural Networks

Week 8

Objectives

Introduction
What is Deep Learning
Introduction to Neural Networks
How do Neural Networks LEARN?
Core terminologies used in Deep Learning
Activation Functions
Loss Functions
Optimizers
Parameters vs Hyperparameters
Epochs, Batches & Iterations
Conclusion to Terminologies
Introduction to Learning
Unsupervised Learning
Reinforcement Learning
Regularization
Introduction to Neural Network Architectures
Fully-Connected Feedforward Neural Nets
Recurrent Neural Nets
Convolutional Neural Nets

Lecture

Next Class

Project Meetings throughout the week.