Reference
Here are the articles in this section:
Model Zoo
Prebuilt model architectures and weights for out-of-the-box application.
Activations
Special algorithms for gradient descent.
Auto Encoders
Computation Graph
How to build complex networks with DL4J computation graph.
Convolutional Layers
Also known as CNN.
DataSet Iterators
Data iteration tools for loading into neural networks.
Layers
Supported neural network layers.
Model Listeners
Adding hooks and listeners on DL4J models.
Saving and Loading Models
Saving and loading of neural networks.
Multi Layer Network
Simple and sequential network configuration.
Recurrent Layers
Recurrent Neural Network (RNN) implementations in DL4J.
Updaters/Optimizers
Special algorithms for gradient descent.
Vertices
Computation graph nodes for advanced configuration.
Word2vec/Glove/Doc2Vec
Neural word embeddings for NLP in DL4J.
Last updated 3 weeks ago