Introduction to Machine Learning: Stochastic Gradient Descent

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:

[GeoffryGifari]

How you mentioned the "tuning" part, it seems like there's still an "art" to neural networks

[fangyuan]

The audio is so low . Nothing is audible at all.