История

$REDMOND\sayanpa$ REDMOND\sayanpa dc4502960e Notebook update and deleting stale previous version		2017-04-25 11:43:13 -07:00
..
HelloWorld-LogisticRegression	Update README.md	2016-11-14 21:19:20 +01:00
ImageHandsOn	Revision based on CR.	2017-01-13 08:52:37 -08:00
NumpyInterop	Adding tests to layers library, removing previous non-layers constructors and updating distributed seq2seq.	2017-04-10 13:51:30 +02:00
SLUHandsOn	…
CNTK_101_LogisticRegression.ipynb	Bump version numbers	2017-04-21 15:58:00 +02:00
CNTK_102_FeedForward.ipynb	Bump version numbers	2017-04-21 15:58:00 +02:00
CNTK_103A_MNIST_DataLoader.ipynb	added CR feedback and import cleanup	2017-04-25 11:28:32 -07:00
CNTK_103C_MNIST_MultiLayerPerceptron.ipynb	Notebook update and deleting stale previous version	2017-04-25 11:43:13 -07:00
CNTK_104_Finance_Timeseries_Basic_with_Pandas_Numpy.ipynb	Fix Notebook...	2017-03-29 02:07:15 -07:00
CNTK_105_Basic_Autoencoder_for_Dimensionality_Reduction.ipynb	Merge with master.	2017-03-29 15:05:51 -07:00
CNTK_106A_LSTM_Timeseries_with_Simulated_Data.ipynb	Add local worker's state checkpointing	2017-04-04 16:07:48 +02:00
CNTK_106B_LSTM_Timeseries_with_IOT_Data.ipynb	Py 3.6 build & test	2017-04-13 14:19:19 +02:00
CNTK_201A_CIFAR-10_DataLoader.ipynb	Fix Notebook...	2017-03-29 02:07:15 -07:00
CNTK_201B_CIFAR-10_ImageHandsOn.ipynb	CNTK v2 library: Remove remnants of the use of deprecated input_variable and placeholder_variable methods	2017-03-30 12:11:20 -07:00
CNTK_202_Language_Understanding.ipynb	Bump version numbers	2017-04-21 15:58:00 +02:00
CNTK_203_Reinforcement_Learning_Basics.ipynb	CNTK v2 library: Migrate past_value and future_value to sequence	2017-03-30 12:11:20 -07:00
CNTK_204_Sequence_To_Sequence.ipynb	Bump version numbers	2017-04-21 15:58:00 +02:00
CNTK_205_Artistic_Style_Transfer.ipynb	CNTK v2 library: Remove remnants of the use of deprecated input_variable and placeholder_variable methods	2017-03-30 12:11:20 -07:00
CNTK_206A_Basic_GAN.ipynb	Merge with master.	2017-03-29 15:05:51 -07:00
CNTK_206B_DCGAN.ipynb	Merge with master.	2017-03-29 15:05:51 -07:00
CNTK_207_Training_with_Sampled_Softmax.ipynb	CNTK v2 library: Migrate past_value and future_value to sequence	2017-03-30 12:11:20 -07:00
CNTK_301_Image_Recognition_with_Deep_Transfer_Learning.ipynb	More fixes and examples for Parameter and Constant.	2017-03-29 14:52:37 -07:00
CNTK_599A_Sequence_To_Sequence.ipynb	Bump version numbers	2017-04-21 15:58:00 +02:00
README.md	Addressed CR comments	2016-11-14 16:24:52 +01:00

README.md

Tutorials

In this folder you find several tutorials both for the CNTK Python 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.

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 on the CNTK wiki.

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