- Added test_unit_convolution_operation() call after function definition
- Added test_unit_conv2d_layer() call after function definition
- Added test_unit_flatten_function() call after function definition
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 auto testing block
- Updated to ## 🎯 MODULE SUMMARY: Convolutional Networks
Improves notebook organization without changing any code logic or content.
- Updated module.yaml files for 05_dense and 06_spatial to reference correct dev file names
- Fixed #| default_exp directives in dense_dev.py and spatial_dev.py to export to correct module names
- Fixed tensor assignment issues in 12_compression module by creating new Tensor objects instead of trying to assign to .data property
- Removed missing function imports from autograd integration test
- All individual module tests now pass (01_setup through 14_benchmarking)
- Generated correct module files: dense.py, spatial.py, attention.py