Constructing and Training Neural Networks

This intermediate deep learning course teaches you how to construct, train, and evaluate neural networks using PyTorch. You’ll learn foundational deep learning theory, core neural network architectures, activation functions, loss functions, optimization and training loops, data preparation and loading pipelines, and techniques for diagnosing and improving model performance. The course combines conceptual explanations with hands-on implementation, culminating in a project where you build a multi-layer perceptron to predict diabetes risk from real-world health data.