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Personal repository consisting Python implementation codes and fundamental mathematical concepts of common Deep Learning models in a nutshell.

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Description

License: MIT Python 3.12.5 TensorFlow 2.18.0 Keras 3.7.0 Pytorch 2.5.1 Jupyter 4.3.3

This repository contains python implementation codes of most common deep learning models and fundamental mathematical concepts behind them.

Content

  • Artificial Neural Network
  • Convolutional Neural Network
  • Recurrent Neural Network

All the example codes are in the folder example codes, all the PDFs explaning the corresponding concepts are in the pdf folder, and all the LaTeX projects (for writing the PDFs) are available in the folder LaTeX projects.

Reference Projects

Please go to my other GitHub repository Deep Learning Projects for different projects using deep learning algorithms.

Books

  1. Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaraon Courville

Research Papers / Articles

  1. Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y. (2014). Generative Adversarial Nets. In Advances in Neural Information Processing Systems 27 (NIPS 2014)

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Personal repository consisting Python implementation codes and fundamental mathematical concepts of common Deep Learning models in a nutshell.

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