CNTK/Tutorials
Mark Hillebrand ce301e2ec2 Bump version 2016-11-21 15:21:43 +01:00
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HelloWorld-LogisticRegression Update README.md 2016-11-14 21:19:20 +01:00
ImageHandsOn Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
NumpyInterop Integrate alrezni/v2_scratch into master 2016-11-14 10:59:42 -08:00
SLUHandsOn Restructuring examples and tutorials 2016-11-14 16:24:45 +01:00
CNTK_101_LogisticRegression.ipynb Bump version 2016-11-21 15:21:43 +01:00
CNTK_102_FeedForward.ipynb Bump version 2016-11-21 15:21:43 +01:00
CNTK_103A_MNIST_DataLoader.ipynb Bump version 2016-11-21 15:21:43 +01:00
CNTK_103B_MNIST_FeedForwardNetwork.ipynb Bump version 2016-11-21 15:21:43 +01:00
CNTK_201A_CIFAR-10_DataLoader.ipynb Tutorials: more fixes 2016-11-18 19:15:15 +01:00
CNTK_201B_CIFAR-10_ImageHandsOn.ipynb Tutorials: more fixes 2016-11-18 19:15:15 +01:00
CNTK_202_Language_Understanding.ipynb Tutorials: more fixes 2016-11-18 19:15:15 +01:00
CNTK_203_Reinforcement_Learning_Basics.ipynb Tutorials: more fixes 2016-11-18 19:15:15 +01:00
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)