🤓 Yashwanth's Notes
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From Scratch
LLM from Scratch
1. Understanding Large Language Models
2. Working with Text Data
3. Coding Attention Mechanisms
4. Implementing a GPT Model From Scratch to Generate Text
5. Pretraining on Unlabeled Data
DDPM from Scratch
Math
Analytic Geometry
Inner Products
Lengths and Angles of Vectors
Matrix Representations of inner products
Norms
Autocorrelation
Hessian Matrix
Quasi-Newton Methods
Radial Basis Functions (RBFs)
Structural risk minimization
Symmetric Positive Definite Matrices (SPD Matrices)
The Conjugate Gradient Method
Papers
AlexNet - ImageNet Classification with Deep Convolutional Neural Networks
Identity Mappings in Deep Residual Networks
Keeping Neural Networks Simple by Minimizing the Description Length of the Weights
LeNet - Gradient-Based Learning Applied to Document Recognition
ResNet - Deep Residual Learning for Image Recognition
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From Scratch
Folder: From-Scratch
2 items under this folder.
Feb 03, 2025
DDPM from Scratch
Dec 16, 2024
LLM-from-Scratch
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