Vijay Janapa Reddi 6e1ba654af Enhance activations module with comprehensive nonlinearity foundations ...

- Added detailed explanation of the linear limitation problem
- Enhanced biological inspiration and neuron modeling connections
- Included Universal Approximation Theorem and its implications
- Added real-world impact examples (computer vision, NLP, game playing)
- Comprehensive activation function properties analysis
- Historical timeline of activation function evolution
- Better visual analogies and signal processor metaphors
- Improved connections to previous and next modules

2025-07-12 21:11:39 -04:00

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00_setup

Enhance setup module with comprehensive educational explanations

2025-07-12 21:07:34 -04:00

01_tensor

Enhance tensor module with comprehensive mathematical foundations

2025-07-12 21:10:22 -04:00

02_activations

Enhance activations module with comprehensive nonlinearity foundations

2025-07-12 21:11:39 -04:00

03_layers

Standardize inline test naming and ensure progressive testing structure

2025-07-12 20:38:26 -04:00

04_networks

Standardize inline test naming and ensure progressive testing structure

2025-07-12 20:38:26 -04:00

05_cnn

feat: Complete comprehensive inline testing for CNN and DataLoader modules

2025-07-12 20:12:01 -04:00

06_dataloader

feat: Complete comprehensive inline testing for CNN and DataLoader modules

2025-07-12 20:12:01 -04:00

07_autograd

Implement comprehensive autograd module with automatic differentiation

2025-07-12 20:32:21 -04:00