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- Learning Objectives
- Learning about RMSprop concept, math behind it and code it in python
- Potential Use Cases
- RMSprop is a gradient based optimization technique used in training neural networks
- Target Audience
- INTERMEDIATE

Go through the following **annotated items** *in order*:

ARTICLE 1. Intro to mathematical optimization

- What is mathematical optimization?
- Why do we need to optimize a cost function in ML algorithms?

10 minutes

VIDEO 2. Gradient Descent

- What is Gradient Decent(GD)?
- How does GD work in python?

10 minutes

LIBRARY 3. Gradient Descent in Python

- How to implement Gradient Descent in Python?

20 minutes

VIDEO 4. RMSprop

- What is RMSprop?
- How does this algorithm work?

8 minutes

ARTICLE 5. RMSprop: Divide the gradient by a running average of its recent magnitude

- Why rprop does not work with mini-batches
- Further developments of rmsprop

10 minutes

LIBRARY 6. RMSprop from scratch in Python

- how to code RMSprop in python from scratch?

10 minutes

LIBRARY 7. Implement RMSprop in Keras

- How to implement RMSprop in Keras?

20 minutes

Previewing stream **Ā ML Interpretability**

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