- Fixed test functions to only run when modules executed directly
- Added proper __name__ == '__main__' guards to all test calls
- Fixed syntax errors from incorrect replacements in Module 13 and 15
- Modules now import properly without executing tests
- ProductionBenchmarkingProfiler (Module 14) and ProductionMLSystemProfiler (Module 16) fully working
- Other profiler classes present but require full numpy environment to test completely
- Tests activation function integration with Tensor class operations
- Validates that activations preserve Tensor types in neural network contexts
- Tests matrix operations for multi-dimensional neural network layers
- Verifies softmax probability distributions for classification scenarios
- Tests chaining tensor operations with activations for complete workflows
- Positioned before MODULE SUMMARY as per educational structure
Removes redundant "DEVELOPMENT" headers from several notebook files.
These headers are no longer necessary and declutter the notebook content, improving readability and focus on the core content and testing sections.
- Added ## 🔧 DEVELOPMENT section before Step 1 where development begins
- Added ## 🤖 AUTO TESTING section before auto testing block
- Updated to ## 🎯 MODULE SUMMARY: Activation Functions
Improves notebook organization without changing any code logic or content.
✅ Rename all module directories: 00_setup → 01_setup, etc.
✅ Update convert_modules.py mappings for new directory names
✅ Update _toc.yml file paths and titles (1-14 instead of 0-13)
✅ Regenerate all overview pages with new numbering
✅ Fix all broken references in usage-paths and intro
✅ Update chapter references to use natural numbering
Benefits:
- More intuitive course progression starting from 1
- Matches academic course numbering conventions
- Eliminates confusion about 'Module 0' concept
- Cleaner mental model for students and instructors
- All references and links properly updated
Complete transformation: 14 modules now numbered 01-14
