CNN Explainer - Learning Convolutional Neural Networks with Interactive Visualization

Explore the inner workings of Convolutional Neural Networks (CNNs) through an interactive visualization tool in this 25-minute Launchpad presentation. Delve into the architecture of CNNs, starting with an introduction to the challenges and goals of the project. Gain insights into key components such as convolutional layers, filters, padding, and activation functions. Examine the role of pooling layers in reducing spatial dimensions. Review study results that demonstrate the effectiveness of this visualization approach in enhancing understanding of CNNs. Discuss potential future developments and improvements for the tool. Conclude with a Q&A session to address any remaining questions about CNN architecture and the interactive visualization method.

Introduction
Challenges
Goals
Convolutional Layer
Filters
Padding
Activation
Pulling Layer
Study
Results
Future Work
Questions