https://github.com/mgitrov/ann-from-scratch
An artificial neural network implemented from scratch using numpy only.
https://github.com/mgitrov/ann-from-scratch
artificial-neural-networks deep-learning guide numpy
Last synced: about 2 months ago
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An artificial neural network implemented from scratch using numpy only.
- Host: GitHub
- URL: https://github.com/mgitrov/ann-from-scratch
- Owner: MGitrov
- Created: 2022-09-30T08:14:59.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-10-04T09:24:02.000Z (over 3 years ago)
- Last Synced: 2025-02-02T06:41:23.090Z (over 1 year ago)
- Topics: artificial-neural-networks, deep-learning, guide, numpy
- Language: Jupyter Notebook
- Homepage:
- Size: 1.02 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Introduction
Although I have already created two projects dealing with neural networks, I felt that I do not fully understand the “under the hood” of neural networks, so the process of parsing thoroughly each line of implementation from scratch code might be helpful.
I have used [Victor Zhou’s implementation code](https://victorzhou.com/blog/intro-to-neural-networks/), and besides that, I have also created a PDF file where I thoroughly tried to explain the theory behind the neural network, along with the parsing of each line of the implementation code.
It is recommended to follow the implementation code along with the PDF file.