# Models

- [Autoencoders](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/autoencoders.md)
- [Multilayer Network](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/multilayernetwork.md): Simple and sequential network configuration.
- [Computation Graph](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/computationgraph.md): How to build complex networks with DL4J computation graph.
- [Convolutional Neural Network](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/convolutional.md): Also known as CNN.
- [Recurrent Neural Network](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/recurrent.md): Recurrent Neural Network (RNN) implementations in DL4J.
- [Layers](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/layers.md): Supported neural network layers.
- [Vertices](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/vertices.md): Computation graph nodes for advanced configuration.
- [Iterators](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/iterators.md): Data iteration tools for loading into neural networks.
- [Listeners](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/listeners.md): Adding hooks and listeners on DL4J models.
- [Custom Layers](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/custom-layer.md): Extend DL4J functionality for custom layers.
- [Model Persistence](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/model-persistence.md): Saving and loading of neural networks.
- [Activations](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/activations.md): Special algorithms for gradient descent.
- [Updaters](https://deeplearning4j.konduit.ai/en-1.0.0-beta7/models/updaters.md): Special algorithms for gradient descent.


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