Exploring Building Makemore Part 4 Becoming A Backprop Ninja
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- In this video, I implement the formulas for "gradient descent" and adjust the weights in the train() function of my "toy" JavaScript ...
- We implement a multilayer perceptron (MLP) character-level language model. In this video we also introduce many basics of ...
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- Stop coding and start architecting! In this video, we explore the shift from manual coding with AI as a simple "autocomplete" to ...
- We take the 2-layer MLP from previous video and make it deeper with a tree-like structure, arriving at a convolutional neural ...
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We take the 2-layer MLP (with BatchNorm) from the previous video and backpropagate through it manually without using PyTorch ... Building makemore Part 4： Becoming a Backprop Ninja Welcome to Pre School 2024 Day 5 |
Stanford Winter Quarter 2016 class: CS231n: Convolutional Neural Networks for Visual Recognition. Lecture
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