Merge pull request #1 from PoCInnovation/ai/day-2

ai day2: neural networks from scratch
PoCInnovation · Feb 4, 2024 · 44f77c2 · 44f77c2
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diff --git a/AI/Day2/README.md b/AI/Day2/README.md
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+# ~ PoC AI Pool 2024 ~
+
+- ## Day 2: Neural Networks from Scratch
+  - ### Module 1: Linear Regression
+    - **Notebook:** [`linear-regression.ipynb`](./linear-regression.ipynb)
+  - ### Module 2: Logistic Regression
+    - **Notebook:** [`logistic-regression.ipynb`](./logistic-regression.ipynb)
+  - ### Module 3: Deep Learning
+    - **Notebook:** [`deep-learning.ipynb`](./deep-learning.ipynb)
+
+---
+
+**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](https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)
+- [sentdex's NNFS series & book](https://www.youtube.com/watch?v=Wo5dMEP_BbI&list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3)
+- [andriy burkov's 100-page ML book](https://themlbook.com/) particularly [chapter 4](https://www.dropbox.com/s/xpd5x6p6jte3th5/Chapter4.pdf?dl=0)
+- [the math sorcerer's video on partial derivatives](https://www.youtube.com/watch?app=desktop&v=gnkhT3XDU5s)
+- [khan academy's video on the chain rule](https://www.youtube.com/watch?v=NO3AqAaAE6o)
+
+## Module 2
+
+- [derivating bce loss](https://www.google.com/search?sca_esv=593424282&rlz=1C5CHFA_enFR1086FR1086&sxsrf=AM9HkKnhFXQw46XVx7yP5nyzZOxkebfGWw:1703424283700&q=sigmoid&tbm=isch&source=lnms&sa=X&sqi=2&ved=2ahUKEwiXptP6laiDAxVBU6QEHVYpCxIQ0pQJegQIDhAB&biw=1512&bih=738&dpr=2)
+
+## Module 3
+
+- [pytorch docs](https://pytorch.org/docs/stable/index.html)
+- [install pytorch](https://pytorch.org/get-started/locally/)
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+price,size
+100000,100
+200000,200
+300000,300
+400000,400
+500000,500
diff --git a/AI/Day2/deep-learning.ipynb b/AI/Day2/deep-learning.ipynb
diff --git a/AI/Day2/linear-regression.ipynb b/AI/Day2/linear-regression.ipynb