CNTK/Tutorials
Big Data Tech. Lab 이태훈 1c1c70de90 Fix typos 2017-06-23 16:44:56 +09:00
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FunctionalAPI Fix typos 2017-06-23 16:44:56 +09:00
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 input -> input_variable complete 2017-05-11 17:00:07 -07:00
SLUHandsOn addressed CR comments 2017-06-07 16:50:37 +02:00
CNTK_101_LogisticRegression.ipynb Minor revisions to CNTK_101_LogisticRegression.ipynb (phrasing/clarification) (#2011) 2017-06-21 10:54:32 -07:00
CNTK_102_FeedForward.ipynb addressed CR comments 2017-06-07 16:50:37 +02:00
CNTK_103A_MNIST_DataLoader.ipynb Updated notebooks and added missing tests 2017-05-12 10:28:14 -07:00
CNTK_103B_MNIST_LogisticRegression.ipynb updating links to old wiki - referencing now the doc site 2017-06-07 15:55:34 +02:00
CNTK_103C_MNIST_MultiLayerPerceptron.ipynb Fix typos 2017-06-14 10:27:50 +09:00
CNTK_103D_MNIST_ConvolutionalNeuralNetwork.ipynb updating links to old wiki - referencing now the doc site 2017-06-07 15:55:34 +02:00
CNTK_104_Finance_Timeseries_Basic_with_Pandas_Numpy.ipynb Change data source for the finance tutorial 2017-05-24 19:29:53 -07:00
CNTK_105_Basic_Autoencoder_for_Dimensionality_Reduction.ipynb Updated notebooks and added missing tests 2017-05-12 10:28:14 -07:00
CNTK_106A_LSTM_Timeseries_with_Simulated_Data.ipynb bug fix 2017-06-15 22:16:49 -07:00
CNTK_106B_LSTM_Timeseries_with_IOT_Data.ipynb Incorporate CR feedback 2017-05-12 19:37:33 -07:00
CNTK_200_GuidedTour.ipynb Fix typos 2017-06-10 19:54:18 +09:00
CNTK_201A_CIFAR-10_DataLoader.ipynb Updated notebooks and added missing tests 2017-05-12 10:28:14 -07:00
CNTK_201B_CIFAR-10_ImageHandsOn.ipynb Fix typos 2017-06-23 16:44:56 +09:00
CNTK_202_Language_Understanding.ipynb updating links to old wiki - referencing now the doc site 2017-06-07 15:55:34 +02:00
CNTK_203_Reinforcement_Learning_Basics.ipynb Clean up blanket imports 2017-05-16 20:25:44 -07:00
CNTK_204_Sequence_To_Sequence.ipynb Bump version numbers 2017-06-01 15:12:14 +02:00
CNTK_205_Artistic_Style_Transfer.ipynb Incorporate CR feedback 2017-05-12 19:37:33 -07:00
CNTK_206A_Basic_GAN.ipynb Updated notebooks and added missing tests 2017-05-12 10:28:14 -07:00
CNTK_206B_DCGAN.ipynb CNTK v2 library: Remove all deprecated python APIs. 2017-05-22 15:44:54 -07:00
CNTK_207_Training_with_Sampled_Softmax.ipynb Addressed CR 2017-05-15 13:57:56 -07:00
CNTK_301_Image_Recognition_with_Deep_Transfer_Learning.ipynb Incorporate CR feedback 2017-05-12 19:37:33 -07:00
CNTK_599A_Sequence_To_Sequence.ipynb Bump version numbers 2017-06-01 15:12:14 +02:00
README.md updating links to old wiki - referencing now the doc site 2017-06-07 15:55:34 +02:00

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.