Multilayer Network
Simple and sequential network configuration.
Last updated
Simple and sequential network configuration.
Last updated
The MultiLayerNetwork
class is the simplest network configuration API available in Eclipse Deeplearning4j. This class is useful for beginners or users who do not need a complex and branched network graph.
You will not want to use MultiLayerNetwork
configuration if you are creating complex loss functions, using graph vertices, or doing advanced training such as a triplet network. This includes popular complex networks such as InceptionV4.
The example below shows how to build a simple linear classifier using DenseLayer
(a basic multiperceptron layer).
You can also create convolutional configurations: