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

@@ -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