bindings/python/doc/examples.rst
CNTK also offers several examples that are not in Tutorial style.
Many of these are recipes involve more advanced networks and are located under :cntk:Examples directory <Examples/>.
:cntk:MNIST <Examples/Image/Classification/MLP/Python/SimpleMNIST.py>:
A fully connected feed-forward model for classification of MNIST
images. (Follow the instructions in
:cntk:Examples/Image/DataSets/MNIST/README.md to get the MNIST data set)
:cntk:TrainResNet_CIFAR10 <Examples/Image/Classification/ResNet/Python/TrainResNet_CIFAR10.py>:
An image classification ResNet model for training on the CIFAR image
dataset. (Follow the instructions in
:cntk:Examples/Image/DataSets/CIFAR-10/README.md to get the CIFAR dataset
and convert it to the CNTK supported format)
:cntk:SequenceClassification <Examples/SequenceClassification/SimpleExample/Python/SequenceClassification.py>:
An LSTM sequence classification model for text data.
:cntk:Sequence2Sequence <Examples/SequenceToSequence/CMUDict/Python/Sequence2Sequence.py>:
A sequence to sequence grapheme to phoneme translation model that
trains on the CMUDict corpus.
:cntk:NumpyInterop <Examples/LanguageUnderstanding/ATIS/Python/LanguageUnderstanding.py>
:cntk:Video <Examples/Video/GettingStarted/Python/Conv3D_UCF11.py>