CNTK/Tutorials
liqfu 82d350d0ac bump up version number 2018-09-13 15:52:47 -07:00
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FunctionalAPI Update Tutorials with new learner APIs. 2017-11-10 15:35:50 -08:00
HelloWorld-LogisticRegression
ImageHandsOn
NumpyInterop Update Tutorials with new learner APIs. 2017-11-10 15:35:50 -08:00
SLUHandsOn
CNTK_101_LogisticRegression.ipynb bump up version number 2018-09-13 15:52:47 -07:00
CNTK_102_FeedForward.ipynb bump up version number 2018-09-13 15:52:47 -07:00
CNTK_103A_MNIST_DataLoader.ipynb
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CNTK_103C_MNIST_MultiLayerPerceptron.ipynb bump up version number 2018-09-13 15:52:47 -07:00
CNTK_103D_MNIST_ConvolutionalNeuralNetwork.ipynb bump up version number 2018-09-13 15:52:47 -07:00
CNTK_104_Finance_Timeseries_Basic_with_Pandas_Numpy.ipynb Update Tutorials with new learner APIs. 2017-11-10 15:35:50 -08:00
CNTK_105_Basic_Autoencoder_for_Dimensionality_Reduction.ipynb Update Tutorials with new learner APIs. 2017-11-10 15:35:50 -08:00
CNTK_106A_LSTM_Timeseries_with_Simulated_Data.ipynb Update Tutorials with new learner APIs. 2017-11-10 15:35:50 -08:00
CNTK_106B_LSTM_Timeseries_with_IOT_Data.ipynb Update Tutorials with new learner APIs. 2017-11-10 15:35:50 -08:00
CNTK_200_GuidedTour.ipynb Update Tutorials with new learner APIs. 2017-11-10 15:35:50 -08:00
CNTK_201A_CIFAR-10_DataLoader.ipynb
CNTK_201B_CIFAR-10_ImageHandsOn.ipynb Fix Tutorial 201B for convergence issue. 2018-02-14 10:01:31 -08:00
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CNTK_203_Reinforcement_Learning_Basics.ipynb Rename default Anaconda python environment 2018-01-23 10:43:51 -08:00
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CNTK_205_Artistic_Style_Transfer.ipynb
CNTK_206A_Basic_GAN.ipynb Fixed typos in tutorials. 2018-01-15 12:39:06 +00:00
CNTK_206B_DCGAN.ipynb Fixed typos in tutorials. 2018-01-15 12:39:06 +00:00
CNTK_206C_WGAN_LSGAN.ipynb Fixed typos in tutorials. 2018-01-15 12:39:06 +00:00
CNTK_207_Training_with_Sampled_Softmax.ipynb Update Tutorials with new learner APIs. 2017-11-10 15:35:50 -08:00
CNTK_208_Speech_Connectionist_Temporal_Classification.ipynb bump up version number 2018-09-13 15:52:47 -07:00
CNTK_301_Image_Recognition_with_Deep_Transfer_Learning.ipynb Update Tutorials with new learner APIs. 2017-11-10 15:35:50 -08:00
CNTK_302A_Evaluation_of_Pretrained_Super-resolution_Models.ipynb Revering the Revert "Revert "Merge branch 'master' of https://github.com/Microsoft/cntk into jaliyaek/bugfix"" 2017-11-10 13:32:31 -08:00
CNTK_302B_Image_Super-resolution_Using_CNNs_and_GANs.ipynb run Jupyter Notebook to get output 2017-11-22 17:02:02 +00:00
CNTK_303_Deep_Structured_Semantic_Modeling_with_LSTM_Networks.ipynb adding publication date 2018-04-23 10:31:29 -07:00
CNTK_599A_Sequence_To_Sequence.ipynb bump up version number 2018-09-13 15:52:47 -07:00
README.md

README.md

Tutorials

In this folder you find several tutorials both for the CNTK Python API, the Python Functional API, and for BrainScript.

Python

The Python Jupyter notebooks in this folder cover a range of different application including image classification, language understanding, reinforcement learning and others. Additionally, the folder NumpyInterop contains a simple example of how to use numpy arrays as input for CNTK training and evaluation.

Functional API (still Python)

The FunctionalAPI folder is the staging area for Tutorials written using the Python Functional API. The plan is to have each Tutorial in this folder translated to a more succinct style in the FunctionalAPI folder. All FunctionalAPI Tutorials are fully tested, same as the Tutorials here.

BrainScript

There are four detailed tutorials on how to use CNTK with BrainScript. A step-by-step walk through for each of these is provided in the documentation.

  • Hello World - Logistic Regression (Details)
  • Image Hands On (Details)
  • SLU (Language Understanding) Hands On (Details)
  • Object detection using Fast R-CNN (Code, Details)