Summary: Building Blocks of Deep Neural Networks

Get a quick recap of the major learning points in this chapter.

In this chapter, we covered the basic vocabulary of deep learning, including how initial research into perceptrons and MLPs led to simple learning rules being abandoned for backpropagation. We also looked at specialized neural network architectures such as CNNs, based on the visual cortex, and recurrent networks, specialized for sequence modeling.

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