A deep learning tutorial provides a comprehensive guide to the concepts, algorithms, and techniques used in deep learning, a subfield of machine learning that employs artificial neural networks with multiple hidden layers to learn complex patterns and representations from data. Tutorials typically cover topics such as neural network architectures, activation functions, optimization algorithms, and regularization techniques.