# Reference

- [Model Zoo](/1.0.0-m2/deeplearning4j/reference/model-zoo.md): Prebuilt model architectures and weights for out-of-the-box application.
- [Zoo Models](/1.0.0-m2/deeplearning4j/reference/model-zoo/zoo-models.md)
- [Activations](/1.0.0-m2/deeplearning4j/reference/activations.md): Special algorithms for gradient descent.
- [Auto Encoders](/1.0.0-m2/deeplearning4j/reference/auto-encoders.md)
- [Computation Graph](/1.0.0-m2/deeplearning4j/reference/computation-graph.md): How to build complex networks with DL4J computation graph.
- [Convolutional Layers](/1.0.0-m2/deeplearning4j/reference/convolutional-layers.md): Also known as CNN.
- [DataSet Iterators](/1.0.0-m2/deeplearning4j/reference/dataset-iterators.md): Data iteration tools for loading into neural networks.
- [Layers](/1.0.0-m2/deeplearning4j/reference/layers.md): Supported neural network layers.
- [Model Listeners](/1.0.0-m2/deeplearning4j/reference/model-listeners.md): Adding hooks and listeners on DL4J models.
- [Saving and Loading Models](/1.0.0-m2/deeplearning4j/reference/saving-and-loading-models.md): Saving and loading of neural networks.
- [Multi Layer Network](/1.0.0-m2/deeplearning4j/reference/multi-layer-network.md): Simple and sequential network configuration.
- [Recurrent Layers](/1.0.0-m2/deeplearning4j/reference/recurrent-layers.md): Recurrent Neural Network (RNN) implementations in DL4J.
- [Updaters/Optimizers](/1.0.0-m2/deeplearning4j/reference/updaters-optimizers.md): Special algorithms for gradient descent.
- [Vertices](/1.0.0-m2/deeplearning4j/reference/vertices.md): Computation graph nodes for advanced configuration.
- [Word2vec/Glove/Doc2Vec](/1.0.0-m2/deeplearning4j/reference/word2vec-glove-doc2vec.md): Neural word embeddings for NLP in DL4J.