README.md

~ PoC AI Pool 2024 ~

• Day 2: Neural Networks from Scratch

  • Module 1: Linear Regression

    • Notebook: linear-regression.ipynb

  • Module 2: Logistic Regression

    • Notebook: logistic-regression.ipynb

  • Module 3: Deep Learning

    • Notebook: deep-learning.ipynb

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Hooray : You've made it to AI ! On today's menu, we'll enter the wonderful world of machine learning with two major algorithms : Linear and Logistic Regression, followed by the modern approach of Deep Learning using PyTorch !

Here's a list of resources that we believe can be useful to follow along (and that we've ourselves used to learn these topics before being able to write the subjects):

Module 1

• 3b1b's neural network series
• sentdex's NNFS series & book
• andriy burkov's 100-page ML book particularly chapter 4
• the math sorcerer's video on partial derivatives
• khan academy's video on the chain rule

Module 2

• derivating bce loss

Module 3

• pytorch docs
• install pytorch