| # Example Models |
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| --- |
| |
| Different models are provided as examples to help users get familiar with SINGA. |
| [Neural Network](neural-net.html) gives details on the models that are |
| supported by SINGA. |
| |
| |
| ### Feed-forward neural networks |
| |
| * [MultiLayer Perceptron](mlp.html) trained on MNIST dataset for handwritten |
| digits recognition. |
| |
| * [Convolutional Neural Network](cnn.html) trained on MNIST and CIFAR10 for |
| image classification. |
| |
| * [Deep Auto-Encoders](rbm.html) trained on MNIST for dimensionality |
| |
| |
| ### Recurrent neural networks (RNN) |
| |
| * [RNN language model](rnn.html) trained on plain text for language modelling. |
| |
| ### Energy models |
| |
| * [RBM](rbm.html) used to pre-train deep auto-encoders for dimensionality |
| reduction. |
| |
