📦 Organizing Data into Training Batches – Live Coding with Sebastian Raschka (Chapter 7.3)

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📊 Training & Validation Loss – Live Coding with Sebastian Raschka (Chapter 5.1.3) 📊 Training & Validation Loss – Live Coding with Sebastian Raschka (Chapter 5.1.3)
🛡️ Masking Additional Attention Weights with Dropout – Live Coding w/ Sebastian Raschka (Ch. 3.5.2) 🛡️ Masking Additional Attention Weights with Dropout – Live Coding w/ Sebastian Raschka (Ch. 3.5.2)
🔗 Connecting Attention & Linear Layers – Live Coding w/ Sebastian Raschka (Chapter 4.5) 🔗 Connecting Attention & Linear Layers – Live Coding w/ Sebastian Raschka (Chapter 4.5)
🧱 Implementing a Compact Self-Attention Class – Live Coding with Sebastian Raschka (Chapter 3.4.2) 🧱 Implementing a Compact Self-Attention Class – Live Coding with Sebastian Raschka (Chapter 3.4.2)
🔒 Implementing a Compact Causal Self-Attention Class – Live Coding w/ Sebastian Raschka (Ch. 3.5.3) 🔒 Implementing a Compact Causal Self-Attention Class – Live Coding w/ Sebastian Raschka (Ch. 3.5.3)
📊 Calculating Classification Loss and Accuracy – Live Coding with Sebastian Raschka (Chapter 6.6) 📊 Calculating Classification Loss and Accuracy – Live Coding with Sebastian Raschka (Chapter 6.6)
🚀 Training a Large Language Model – Live Coding with Sebastian Raschka (Chapter 5.2) 🚀 Training a Large Language Model – Live Coding with Sebastian Raschka (Chapter 5.2)
🧠 Creating Token Embeddings – Live Coding with Sebastian Raschka (Chapter 2.7) 🧠 Creating Token Embeddings – Live Coding with Sebastian Raschka (Chapter 2.7)