# ahmedbesbes/Neural-Network-from-scratch

<https://repo.masters-masters.com/en/repos/ahmedbesbes/Neural-Network-from-scratch>

[Home](https://repo.masters-masters.com/en) › [ahmedbesbes](https://repo.masters-masters.com/en/owners/ahmedbesbes) › [Neural-Network-from-scratch](https://repo.masters-masters.com/en/repos/ahmedbesbes/Neural-Network-from-scratch)

ahmedbesbes/Neural-Network-from-scratch has 267 stars on GitHub. Its RepoMasters card: Alpha tier. Ever wondered how to code your Neural Network using NumPy…

| Field | Value |
| --- | --- |
| Owner | [ahmedbesbes](https://repo.masters-masters.com/en/owners/ahmedbesbes) |
| Stars | 267 |
| Forks | 60 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Topics | neural-networks, backpropagation, batch-gradient-descent, numpy, tutorial, python, loss, decision-boundary |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ahmedbesbes/Neural-Network-from-scratch](https://github.com/ahmedbesbes/Neural-Network-from-scratch) |

## Repository

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.