🤓 Yashwanth's Notes

        • 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
        • 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
      • 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

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    Analytic Geometry

    Folder: Math/Analytic-Geometry

    4 items under this folder.

    • Jan 08, 2025

      Inner Products

      • Nov 28, 2024

        Matrix Representations of inner products

        • Nov 02, 2024

          Lengths and Angles of Vectors

          • Oct 31, 2024

            Norms


                  • 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
                  • 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
                • 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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