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)

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Happy Learning!!