Session Recordings:
English: https://youtu.be/Qn5DDQn0fx0
Hindi: https://youtu.be/9MqR_BsogDw
Notebooks:
- aakashns/04-feedforward-nn - Jovian
- aakashns/fashion-feedforward-minimal - Jovian
- aakashns/dataviz-cheatsheet - Jovian
Additional Resources
- A visual proof that neural networks can compute any function, also known as the Universal Approximation Theorem.
- But what is a neural network? - A visual and intuitive introduction to what neural networks are and what the intermediate layers represent
- Stanford CS229 Lecture notes on Backpropagation - for a more mathematical treatment of how gradients are calculated and weights are updated for neural networks with multiple layers.
What to do after the lecture?
- Run the Jupyter notebooks shared above (try other datasets)
- Ask and answer questions on this topic (scroll down)
- Start working on Assignment 3 - Feed Forward Neural Networks
Asking/Answering Questions :
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