samyakgaur/deep-learning

Deep Learning From Scratch

🌟 Learning Deep Learning concepts using python, numpy 🌟

Uses Python 3.7.4

This repository has detailed math equations and graphs for every feature implemented that can be used to serve as basis for greater, in-depth understanding of Neural Networks. Basic understanding of Linear Algebra, Matrix Operations and Calculus is assumed.

Contents 📑

Setup 💻

git clone https://github.com/samyakgaur/Deep-Learning.git

• Every module has a setup.md file for further instructions.

Usage 📔

• Open the .pynb files in jupyter notebook.

Roadmap 📑

• Machine Learning
  • Linear
  • Logistic
• Vectorization
  • vectorization.pynb

This project is not meant to be production ready but instead serve as the foundation repository to understand the in-depth working of Deep Learning down to the mathematics of the task.

Collaborations in implementing and maintaining this project are welcome. Kindly reach out to me if interested.

Contributers 🌟

References 📚

• Deep Learning Specialization, Andrew NG - Coursera.
• Machine Learning Cheatsheet

© 2020 Samyak Gaur

deep-learning's Issues

Docs: Logistic Regression

We can have proper steps to reproduce the algorithm so that user just have to follow the steps and LR's running.