Build PyTorch CNN - Object-Oriented Neural Networks

Learn to build a convolutional neural network (CNN) using PyTorch for computer vision and artificial intelligence applications. Explore object-oriented programming techniques to create a structured and reusable CNN architecture. Gain hands-on experience in implementing key components of a CNN, including convolutional layers, pooling layers, and fully connected layers. Discover how to organize your neural network code using classes and methods for improved modularity and maintainability. Apply best practices in deep learning model design and implementation while leveraging PyTorch's powerful tools and libraries.

Build PyTorch CNN - Object Oriented Neural Networks