- Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide
- Willem Meints
- 170字
- 2021-07-02 12:08:35
The neural network architecture
A neural network is made out of different layers. Each layer contains multiple neurons.
A typical neural network is made of several layers of artificial neurons. The first layer in a neural network is called the input layer. This is where we feed input into the neural network. The last layer of a neural network is called the output layer. This is where the transformed data is coming out of the neural network. The output of a neural network represents the prediction made by the network.
In between the input and output layer of the neural network, you can find one or more hidden layers. The layers in between the input and output are hidden because we don't typically observe the data going through these layers.
Neural networks are mathematical constructs. The data passed through a neural network is encoded as floating-point numbers. This means that everything you want to process with a neural network has to be encoded as vectors of floating-point numbers.
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