CS-677

CS677-Fall 2020
Syllabus
Deep Learning and AI
The Learning Problem
- Learning Examples
- Regression Task
- Classification Task
  - Logistic Regression
- Maximum Likelihood
- Bayesian Inference
  - Interpreting Test Outcomes
- Optimization Algorithms
  - Stochastic Gradient Descent
Introduction to DNNs
Training DNNs
CNNs
Scene Understanding
Sequences and RNNs
NLP
Projects
Resources

Simple RNN Workshop

Simple RNN Workshop