🤓 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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Math
Folder: Math
8 items under this folder.
Jan 08, 2025
Analytic-Geometry
folder
Nov 28, 2024
Autocorrelation
Nov 05, 2024
Radial Basis Functions (RBFs)
Oct 23, 2024
Hessian Matrix
Oct 23, 2024
Quasi-Newton Methods
Oct 23, 2024
Structural risk minimization
Oct 23, 2024
Symmetric Positive Definite Matrices (SPD Matrices)
Oct 23, 2024
The Conjugate Gradient Method