Course Title : Neural Networks with Tensorflow
Instructor : Sanasam Ranbir Singh
Teaching Assistant: Th. Jennil Singh
Week 2: Introduction to Neural Network
Reference Books:
- Neural Networks and Learning Machines by Simon Haykin ( click)
Lessons
- Lesson 1: Neural Network and Human Brain ( PPT)
- Lesson 2: Multilayer Perceptron ( PPT)
- Lesson 3: Parameters of Multi-layer perceptron ( PPT)
- Lesson 4: Understanding Backpropagation ( PPT)
- Lesson 5: Loss Functions and Their Gradient estimates
- Mean Square Loss function and its gradient( PPT)
- Cross entropy loss functions and its gradient( PPT)
- Lesson 6: Activation Functions and Theirs Gradient Estimates ( PPT)
Sample Codes
- Understanding Forward Pass in MLP( click)
- Understanding different Activation Functions( click)
- Understanding dirivatives of different Activation Functions( click)
- Understanding Backpropagation through program( click)