🌟 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.
git clone https://github.com/samyakgaur/Deep-Learning.git- Every module has a setup.md file for further instructions.
- Open the .pynb files in jupyter notebook.
- 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.
- Deep Learning Specialization, Andrew NG - Coursera.
- Machine Learning Cheatsheet
© 2020 Samyak Gaur