/machine_learning

A beginners guide for Machine learning and Deep learning developers

Primary LanguageJupyter NotebookMIT LicenseMIT

Machine learning

Background:

  1. Perceptron (Path: Basics/Perceptron)

Reading flow

  1. Start with Gradient Descent & ML terminology
  2. Learn about layers in Neural Network
  3. Learn a bit about Activation functions

Contribution

Anyone can contribute to this repository. But here are few things to understand before you start doing it -

  1. Content must be useful and human-understandable.
  2. One should be liable for their own content/commits.
  3. Misleading / spam content is strictly prohibited.

More details of copyrights, code of conduct etc. will be detailed here. (Path: CODE_OF_CONDUCT.md)

Note: It would be great if you give us a high-five by clicking on star.

Happy Learning!!