CNTK/Tutorials
liqfu 82b7a392fb merge release 2.7 2019-04-19 11:28:14 -07:00
..
FunctionalAPI Update Tutorials with new learner APIs. 2017-11-10 15:35:50 -08:00
HelloWorld-LogisticRegression updating links to old wiki - referencing now the doc site 2017-06-07 15:55:34 +02:00
ImageHandsOn updating links to old wiki - referencing now the doc site 2017-06-07 15:55:34 +02:00
NumpyInterop Update Tutorials with new learner APIs. 2017-11-10 15:35:50 -08:00
SLUHandsOn addressed CR comments 2017-06-07 16:50:37 +02:00
CNTK_101_LogisticRegression.ipynb merge release 2.7 2019-04-19 11:28:14 -07:00
CNTK_102_FeedForward.ipynb merge release 2.7 2019-04-19 11:28:14 -07:00
CNTK_103A_MNIST_DataLoader.ipynb Enabled conversion of jupyter notebook to html using nbsphinx, integrated the conversion with the current doc build system, updated the jupyter notebooks in Tutorial and Manual folders to adhere to nbshpinx guidelines 2017-09-07 16:33:26 -07:00
CNTK_103B_MNIST_LogisticRegression.ipynb merge release 2.7 2019-04-19 11:28:14 -07:00
CNTK_103C_MNIST_MultiLayerPerceptron.ipynb merge release 2.7 2019-04-19 11:28:14 -07:00
CNTK_103D_MNIST_ConvolutionalNeuralNetwork.ipynb merge release 2.7 2019-04-19 11:28:14 -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 Enabled conversion of jupyter notebook to html using nbsphinx, integrated the conversion with the current doc build system, updated the jupyter notebooks in Tutorial and Manual folders to adhere to nbshpinx guidelines 2017-09-07 16:33:26 -07:00
CNTK_201B_CIFAR-10_ImageHandsOn.ipynb Fix Tutorial 201B for convergence issue. 2018-02-14 10:01:31 -08:00
CNTK_202_Language_Understanding.ipynb merge release 2.7 2019-04-19 11:28:14 -07:00
CNTK_203_Reinforcement_Learning_Basics.ipynb Rename default Anaconda python environment 2018-01-23 10:43:51 -08:00
CNTK_204_Sequence_To_Sequence.ipynb merge release 2.7 2019-04-19 11:28:14 -07:00
CNTK_205_Artistic_Style_Transfer.ipynb Enabled conversion of jupyter notebook to html using nbsphinx, integrated the conversion with the current doc build system, updated the jupyter notebooks in Tutorial and Manual folders to adhere to nbshpinx guidelines 2017-09-07 16:33:26 -07:00
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 merge release 2.7 2019-04-19 11:28:14 -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 Fix CNTK Tutorial 303 2019-03-25 11:08:19 -07:00
CNTK_599A_Sequence_To_Sequence.ipynb merge release 2.7 2019-04-19 11:28:14 -07:00
README.md Fix some typos on Tutorials README 2018-10-31 15:06:57 -03:00

README.md

Tutorials

In this folder you will 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 applications including image classification, language understanding, reinforcement learning and others. Additionally, the folder NumpyInterop contains a simple example on 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)