Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive into the foundations of deep learning with this comprehensive lecture from MIT's Introduction to Deep Learning course. Explore key concepts including perceptrons, neural networks, activation functions, loss functions, gradient descent, and backpropagation. Learn about practical aspects of training neural networks, such as setting learning rates, using batched gradient descent, and applying regularization techniques like dropout and early stopping. Gain a solid understanding of why deep learning is powerful and how it can be applied to solve complex problems.