Introduction to Deep Learning for Classification with PyTorch

This course provides a hands-on introduction to deep learning for classification tasks using PyTorch. Students will learn to build, train, and evaluate neural networks, exploring key concepts such as activation functions, optimization, and loss functions. By the end of the course, participants will be able to implement deep learning models for real-world classification problems with confidence.