From the course: Deep Learning: Getting Started
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Artificial neural networks
From the course: Deep Learning: Getting Started
Artificial neural networks
- [Instructor] How do we use perceptrons to build an artificial neural network, or in short, ANNs. An ANN is a network of perceptrons. We discussed earlier that a perceptron imitates the human brain cell. Similar to how a human brain is created with a network of cells, an ANN is created with a network of perceptrons. The perceptron is also called a node in the neural network. We use the node as the term to represent perceptrons going forward in the course. Nodes are organized into multiple layers in a neural network. A deep neural network usually has three or more layers. Each node has its own weights, biases, and activation function as discussed in the previous video. Each node is connected to all the nodes in the next layer forming a dense network. The nodes within a layer are not connected with each other. There are some exceptions to these in advanced use cases though. This diagram shows an example neural network. Each neural network has one input layer, one or more hidden layers,…
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