From b8d8a106ed7376a817b9aa01a5c755d7a85a2be2 Mon Sep 17 00:00:00 2001 From: Vijay Janapa Reddi Date: Wed, 16 Jul 2025 08:34:15 -0400 Subject: [PATCH] Update generated tensor chapter with fixed learning objectives - Reflects the source README.md improvements in the built book - Ensures consistency between source and generated content --- book/chapters/02-tensor.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/book/chapters/02-tensor.md b/book/chapters/02-tensor.md index e2111b5e..d42d094c 100644 --- a/book/chapters/02-tensor.md +++ b/book/chapters/02-tensor.md @@ -5,7 +5,7 @@ difficulty: "Intermediate" time_estimate: "2-4 hours" prerequisites: [] next_steps: [] -learning_objectives: ["Understand what tensors are and why they're essential for ML", 'Implement a complete Tensor class with core operations', 'Handle tensor shapes, data types, and memory management', 'Implement element-wise operations and reductions', 'Have a solid foundation for building neural networks'] +learning_objectives: ["**Understand what tensors are** and why they're essential for ML", '**Implement a complete Tensor class** with core operations', '**Handle tensor shapes, data types, and memory management** efficiently', '**Implement element-wise operations and reductions** with proper broadcasting', '**Have a solid foundation** for building neural networks'] --- # Module: Tensor @@ -26,11 +26,11 @@ Build the foundation of TinyTorch! This module implements the core Tensor class ## 🎯 Learning Objectives By the end of this module, you will: -- Understand what tensors are and why they're essential for ML -- Implement a complete Tensor class with core operations -- Handle tensor shapes, data types, and memory management -- Implement element-wise operations and reductions -- Have a solid foundation for building neural networks +- **Understand what tensors are** and why they're essential for ML +- **Implement a complete Tensor class** with core operations +- **Handle tensor shapes, data types, and memory management** efficiently +- **Implement element-wise operations and reductions** with proper broadcasting +- **Have a solid foundation** for building neural networks ## 🧠 Build → Use → Understand