Lesson 1: Deep Learning Foundations and MATLAB Workflow

Build a guided MATLAB exercise covering neural networks, layers, activations, loss functions, and optimization.
Apply deep learning toolbox workflow and supported applications to a practical engineering or data scenario.
Validate results and troubleshoot an issue involving reproducibility and experiment planning.

Explain and apply neural networks, layers, activations, loss functions, and optimization.
Use data partitions for training, validation, and testing in a structured workflow.
Validate outputs with plots, metrics, tests, or simulation evidence.

Lesson Overview