Neural Network
Explore how neural networks are structured with input, hidden, and output layers and understand their role in making predictions. This lesson helps you grasp how neural networks generate complex non-linear decision boundaries by aggregating information from inputs, enhancing your foundational grasp of deep learning models.
We'll cover the following...
We'll cover the following...
What is a neural network?
Neural networks are multilayer networks of neurons that are used to classify and make predictions.
Architecture of a neural network
The Neural Network consists of an input layer, a hidden layer, and an output layer.
Neural Network
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Input units: The input units represent raw information that is fed into the network. These input units make the input layer of the neural network. The hidden layer is next to the input layer and it consists of hidden units.
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Hidden units: ...