Скачать или смотреть Introduction to Machine Learning NPTEL - Week 6

This lecture covers the following topics:
1. Neurons and Perceptrons
2. Activation function
3. Weights and Gradient Descent
4. Logic Gates using Perceptron and Neural networks with detailed calculation using examples
5. Forward Propagation in Neural Network with detailed calculation using examples
6. Chain Rule and Backpropagation with detailed calculation using examples
7. Deep Neural Networks
8. Autoencoders with hands on examples in python
9. Convolutional Neural networks (CNN) with hands on examples in python
10. Recurrent Neural networks (RNN) with hands on examples in python

Presentation, Notes, and Codes are available at the following link:
https://drive.google.com/drive/u/1/fo...