Clean up repository: remove temp files, organize modules, prepare for PyPI publication

- Removed temporary test files and audit reports
- Deleted backup and temp_holding directories
- Reorganized module structure (07->09 spatial, 09->07 dataloader)
- Added new modules: 11-14 (tokenization, embeddings, attention, transformers)
- Updated examples with historical ML milestones
- Cleaned up documentation structure

modules/05_losses/module.yaml

@@ -0,0 +1,21 @@
+name: "Loss Functions"
+number: 5
+description: "Essential loss functions for neural network training objectives"
+learning_objectives:
+  - "Implement MSE, CrossEntropy, and BinaryCrossEntropy loss functions"
+  - "Understand numerical stability in loss computation"
+  - "Match loss functions to problem types (regression vs classification)"
+  - "Build production-ready loss functions with batch processing"
+prerequisites:
+  - "02_tensor"
+difficulty: "⭐⭐⭐"
+time_estimate: "2-3 hours"
+exports:
+  - "MeanSquaredError"
+  - "CrossEntropyLoss" 
+  - "BinaryCrossEntropyLoss"
+key_concepts:
+  - "Training objectives and optimization"
+  - "Numerical stability in loss computation"
+  - "Regression vs classification loss functions"
+  - "Batch processing for scalable training"