- 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
Updates markdown headers in development files to improve consistency and readability.
Removes the redundant "🔧 DEVELOPMENT" headers and standardizes the subsequent headers to indicate the purpose of the following code, such as "🧪 Test Your Matrix Multiplication". This change enhances the clarity and organization of the development files.
- Insert ## 🔧 DEVELOPMENT header before first test function
- Organizes module according to educational structure guidelines
- Maintains all existing functionality and test execution
- Improves readability and navigation for educational use
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 test_unit_mse_loss() call after function definition
- Added test_unit_crossentropy_loss() call after function definition
- Added test_unit_binary_crossentropy_loss() call after function definition
- Fixed test_accuracy_metric() → test_unit_accuracy_metric()
- Fixed test_trainer() → test_unit_trainer()
- Fixed test_training() → test_module_training()
Ensures all test functions are executed when cells run, providing immediate feedback to students.
- Added ## 🔧 DEVELOPMENT section before Step 1 where development begins
- Added ## 🤖 AUTO TESTING section before nbgrader block
- Updated to ## 🎯 MODULE SUMMARY: Neural Network Training
Improves notebook organization without changing any code logic or content.
