The video of the workbook covers the definition and importance of ‘deep’ in deep learning, emphasizing the role of having multiple layers in a neural network. It clarifies how deeper networks, with several hidden layers, allow models to capture more complex features and patterns in data. It also illustrates the challenges and benefits of increasing the depth of a network, including the trade-offs in performance, computation, and training time.
The workbook pdf-
