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

Batch Normalization Workshop

Batch Normalization Workshop
- Impact of weights
- Impact of Non BN Layers on Learning efficiency

Batch Normalization Workshop

Impact of weights

Impact of Non BN Layers on Learning efficiency

Batch Normalization Workshop
- Impact of weights
- Impact of Non BN Layers on Learning efficiency