Convolutional Neural Network (CNN) Visualization

In this project, I aimed to visualize a Convolutional Neural Network (CNN) using Processing, a highly effective language for visualization. The network architecture comprises four convolutional layers and two fully connected layers. For the convolutional layers, I configured a kernel size of 3 by 3, padding of 1, and a stride of 2. I trained the network using PyTorch and saved the weights and biases. Subsequently, I employed the parsed parameters in the respective Conv2D and MLP layers. I created a visualization of an MLP during the early stages of my master's degree three years ago.    • Neural network visualization   However, due to various commitments, such as completing my degree, pursuing a doctorate, and managing other responsibilities, I could not develop the CNN version as intended. I apologize for the delay. 😢 For those interested in exploring further, the source codes are readily accessible on GitHub github.com/okdalto/CNN-visualization I hope this visualization enhances your understanding of CNN operations. If you're interested in my work, please check out my Instagram www.instagram.com/okdalto/ Thank you