Exploring Building Makemore Part 4 Becoming A Backprop Ninja
Welcome to our comprehensive guide on Building Makemore Part 4 Becoming A Backprop Ninja.
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- We implement a multilayer perceptron (MLP) character-level language model. In this video we also introduce many basics of ...
- In this video, I implement the formulas for "gradient descent" and adjust the weights in the train() function of my "toy" JavaScript ...
- We take the 2-layer MLP from previous video and make it deeper with a tree-like structure, arriving at a convolutional neural ...
- We dive into some of the internals of MLPs with multiple layers and scrutinize the statistics of the forward pass activations, ...
In-Depth Information on Building Makemore Part 4 Becoming A Backprop Ninja
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 |
Day 004 of coding on Handmade Hero. See http://handmadehero.org for details. 1. Comments about BitBlt and StretchDIBits 2.
In summary, understanding Building Makemore Part 4 Becoming A Backprop Ninja gives us a better perspective.
