Deep Learning - Crash Course 2023 - Quick Recap on Deep Learning

The video provides a recap of deep neural networks, explaining their structure with input, hidden, and output layers. It describes dense network architecture where neurons in one layer connect to all neurons in the next, and sequential models where layers are stacked. Neurons perform linear aggregation and activation. The video concludes with a brief mention of building neural networks using TensorFlow.

What are the three important parts of a deep neural network?

Explain the concept of a dense network in the context of deep neural networks.

What is a sequential model in neural networks?

Describe the process that occurs inside a neuron when it receives input.

What happens to the data after it is processed in the hidden layers of a deep neural network?