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This repo goes on trying to explain and make a neural network from scratch, based on a book

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neural-network artificial-intelligence artificial-neural-networks python neural-network-from-scratch

neural-networks-from-scratch's Introduction

Neural Networks from scratch, in python

I will be documenting each chapters from the book Neural Networks from scratch.

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I will be making extensive use of the animations the author made, and made it available for free on the site.

Huge kudos to the authors for the book, and the excellent animations they made.

Table of Contents:


Chapter 01 - The idea of neurons

Chapter 02 - Creating a neuron

Chapter 03 - Adding Layers

Chapter 04 - Activation Functions

Chapter 05 - Loss Functions

Chapter 06 - Introduction to Optimization

Chapter 07 - Derivatives

Chapter 08 - Partial Derivatives

Chapter 09 - Backpropogation

Some other resources used in this repo

The neural network images i've put in here - NN-SVG

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