View all my class notes for CS5814 lectured by Dr. Chris Thomas!
- A Brief Introduction to Deep Learning
- Classifier
- Training a Linear Classifier
- Side Note: Convex Set
- Error Decomposition, Data Loss, Regularization
- Multi-class Classification
- Non-linear Classifiers
- Gradients and Backpropagation
Examples of Backpropagation and Forward Mode - Convolutional Neural Networks (CNNs)
- CNNs continued, Receptive Field
- Backward Pass for CNNs
- Popular CNN approaches
- Training a Neural Network
- Side Notes: Hyperparameters
- Optimization
- Data Augmentation
- Batch Normalization
- Fully Convolutional Networks
- Self-Supervised Learning
- Adversarial Examples
- Unsupervised Learning
- Generative Adversarial Networks (GANs)
- Reinforcement Learning