C2DL
Description
C2DL, or "See Through Deep Learning," is a pioneering Python library developed as an extension to Draw.ai. This innovative library offers real-time interactive visualization of the inner workings of Deep Learning models during the training process. With the implementation of custom layer-wise gradient calculation and movement analysis, C2DL opens up new dimensions for understanding and fine-tuning these complex models.
Features
- Real-Time Visualization: C2DL enables real-time visualization of Deep Learning model training, allowing users to observe what transpires within the neural network as it learns.
- Interactive Insights: Users can interact with the visualization, gaining insights into the learning process, layer activations, and gradients.
- Custom Layer-Wise Gradient Calculation: The project implements custom gradient calculation for individual layers, providing detailed information on how each layer contributes to model updates.
Technologies
Lessons Learned
- Effective Communication: Developing a library that translates complex Deep Learning processes into accessible visuals emphasized the importance of clear and effective communication.
- User-Centric Design: Prioritizing user needs and preferences in interactive design enhances the utility and impact of the project.
- Visualization as a Learning Tool: Visualizing complex concepts can significantly aid in understanding and teaching intricate subjects like Deep Learning.