cavis/docs/deeplearning4j-nn/templates/layers.md

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---
title: Supported Layers
short_title: Layers
description: Supported neural network layers.
category: Models
weight: 3
---
## What are layers?
Each layer in a neural network configuration represents a unit of hidden units. When layers are stacked together, they represent a *deep neural network*.
## Using layers
All layers available in Eclipse Deeplearning4j can be used either in a `MultiLayerNetwork` or `ComputationGraph`. When configuring a neural network, you pass the layer configuration and the network will instantiate the layer for you.
## Layers vs. vertices
If you are configuring complex networks such as InceptionV4, you will need to use the `ComputationGraph` API and join different branches together using vertices. Check the vertices for more information.
## General layers
{{autogenerated}}