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Example Models

Different models are provided as examples to help users get familiar with SINGA. Neural Network gives details on the models that are supported by SINGA.

Feed-forward neural networks

MultiLayer Perceptron trained on MNIST dataset for handwritten digits recognition.
Convolutional Neural Network trained on MNIST and CIFAR10 for image classification.
Deep Auto-Encoders trained on MNIST for dimensionality

Recurrent neural networks (RNN)

RNN language model trained on plain text for language modelling.

Energy models

RBM used to pre-train deep auto-encoders for dimensionality reduction.