📌 Main Topics

• Experiments
• Core Topics
• Models Implemented
• Datasets

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🧪 Experiments

• Learning Rate Sweep & Stability Analysis
• Hugging Face Trainer API Prototyping

🧠 Core Topics

• BERT Weight Distribution Analysis
• Autograd Mechanics (from scratch intuition)
• Linear Algebra Foundations
• One-Hot Encoding & Label Representations
• Activation Functions (ReLU and variants)
• Pooling Operations
• 2D Convolutions
• Tensor Operations & Shape Semantics
• Loss Functions
  • Cross-Entropy Loss
  • Mean Squared Error (MSE)

🧩 Models Implemented

• Linear Regression
• Logistic Regression
• Multi-Layer Perceptron (MLP)
• ResNet (modular, research-oriented implementation)

📦 Datasets

• MNIST
• CIFAR-10