https://github.com/97k/deep-neural-net-implementation-scratch-and-pytorch

This notebook is part of my blogpost, in which we'll make a deep neural network from scratch in plain Numpy
https://github.com/97k/deep-neural-net-implementation-scratch-and-pytorch

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This notebook is part of my blogpost, in which we'll make a deep neural network from scratch in plain Numpy

• Host: GitHub
• URL: https://github.com/97k/deep-neural-net-implementation-scratch-and-pytorch
• Owner: 97k
• Created: 2019-04-12T14:19:01.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2019-06-07T14:07:20.000Z (about 7 years ago)
• Last Synced: 2025-01-09T06:29:01.167Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 43.9 KB
• Stars: 1
• Watchers: 0
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# A Deep Neural net from Scratch and in PyTorch

Learn to make a deep neural net of any layers with help of numpy!

![image](https://user-images.githubusercontent.com/21143936/59109575-e6938400-895a-11e9-845a-6d2f74c96f4b.png)

In order to create something new, we should know how to create it from scratch. And for that, we need to know what’s going on under the hood ;)

This notebook is part of my blogpost, in which we'll make a deep neural network from scratch in plain Numpy.

[Here's a link for my blogpost](https://medium.com/datadriveninvestor/code-a-deep-neural-net-from-scratch-in-python-5408680a57e0)