https://github.com/prakharchoudhary/nn-lib

A collection of all commonly used deep learning layers and a few examples to use them.
https://github.com/prakharchoudhary/nn-lib

Last synced: about 1 month ago
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A collection of all commonly used deep learning layers and a few examples to use them.

• Host: GitHub
• URL: https://github.com/prakharchoudhary/nn-lib
• Owner: prakharchoudhary
• License: mit
• Created: 2018-06-11T15:26:47.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-06-20T18:55:09.000Z (over 6 years ago)
• Last Synced: 2025-01-11T22:56:50.272Z (about 1 month ago)
• Language: Python
• Size: 9.77 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# NeuralNets

A collection of all commonly used deep learning layers and a few examples to use them. This is more or less a Deep Learning library implemented purely in Python. The goal is to understand the working of various layers and thus it is not omptimised for large training purposes(at least not yet!).

## Layers and functions to implement:

* - [x] Dense

* - [ ] Convolution 2D

* - [ ] Max Pooling

* - [ ] Average Pooling

* - [x] Softmax Activation

* - [x] ReLU Activation

* - [ ] Batch Normalization(regularisation)

* - [ ] Dropout

* - [x] Xavier Initialization

## Examples:

* - [ ] A simple Neural Net trained on MNIST dataset

* - [ ] A convolutional Neural Net trained on CIFAR-10