Introduction to Machine Learning: Neural Networks

Introduction to neural network based machine learning techniques. Overview includes:

- Description of deep learning as curve fitting process
- Development and implementation of leading algorithms for deep learning
- Overview of back propagation method for enabling optimization
- Overview of stochastic gradient descent optimization frameworks required for learning

Additional lectures can be found at:

[nagakiranmachiraju]

Thank you for a very informative and simiplified explination for LMS and gradient descent algorithms and how it is related and integrated with neural networks and ML.