Summary: Building Blocks of Deep Neural Networks
Understand the core components of deep neural networks, including the evolution from perceptrons to backpropagation, and specialized models such as CNNs and RNNs. Learn optimization methods like gradient descent variants and weight initialization to prepare for generative AI projects.
We'll cover the following...
We'll cover the following...
In this chapter, we covered the basic vocabulary of deep learning, including how initial research into perceptrons and MLPs led to simple learning ...