Gradient Descent, How Neural Networks Learn

The course covers the topic of gradient descent and how neural networks learn. The learning outcomes include understanding training data, cost functions, gradient vectors, and network analysis. The course teaches the method of gradient descent for optimization. The intended audience for this course is individuals interested in machine learning, neural networks, and deep learning concepts.