27 lines
929 B
Markdown
27 lines
929 B
Markdown
---
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title: Activations
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short_title: Activations
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description: Special algorithms for gradient descent.
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category: Models
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weight: 10
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---
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## What are activations?
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At a simple level, activation functions help decide whether a neuron should be activated. This helps determine whether the information that the neuron is receiving is relevant for the input. The activation function is a non-linear transformation that happens over an input signal, and the transformed output is sent to the next neuron.
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## Usage
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The recommended method to use activations is to add an activation layer in your neural network, and configure your desired activation:
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```java
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GraphBuilder graphBuilder = new NeuralNetConfiguration.Builder()
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// add hyperparameters and other layers
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.addLayer("softmax", new ActivationLayer(Activation.SOFTMAX), "previous_input")
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// add more layers and output
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.build();
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```
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## Available activations
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{{autogenerated}} |