Added links to new tutorials
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Tutorials
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===============
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#. `Logistic Regression`_ with CNTK and NumPy
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#. `Feed Forward Network`_ with CNTK and NumPy
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#. Image 101 Feed Forward Classifier with MNIST data
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#. CNTK 101: `Logistic Regression`_ with CNTK and NumPy
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#. CNTK 102: `Feed Forward Network`_ with CNTK and NumPy
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#. CNTK 103: Feed Forward image classifier with MNIST data
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* Part A: `MNIST Data preparation`_
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* Part A: `MNIST data preparation`_
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* Part B: `Feed Forward Classifier`_
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#. Image 201 ResNet Classifier with CIFAR-10 data
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#. CNTK 201: Image classifiers with CIFAR-10 data
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* Part A: `CIFAR-10 Data preparation`_
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* Part B: `ResNet Classifier`_
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* Part B: `VGG and ResNet classifiers`_
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#. CNTK 202: `Language understanding`_ with ATIS3 text data
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#. CNTK 203: `Reinforcement learning basics`_ with OpenAI Gym data
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.. _`Logistic Regression`: https://github.com/Microsoft/CNTK/tree/v2.0.beta2.0/bindings/python/tutorials/CNTK_101_LogisticRegression.ipynb
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.. _`Feed Forward Network`: https://github.com/Microsoft/CNTK/tree/v2.0.beta2.0/bindings/python/tutorials/CNTK_102_FeedForward.ipynb
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.. _`MNIST Data preparation`: https://github.com/Microsoft/CNTK/tree/v2.0.beta2.0/bindings/python/tutorials/CNTK_103A_MNIST_DataLoader.ipynb
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.. _`MNIST data preparation`: https://github.com/Microsoft/CNTK/tree/v2.0.beta2.0/bindings/python/tutorials/CNTK_103A_MNIST_DataLoader.ipynb
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.. _`Feed Forward Classifier`: https://github.com/Microsoft/CNTK/tree/v2.0.beta2.0/bindings/python/tutorials/CNTK_103B_MNIST_FeedForwardNetwork.ipynb
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.. _`CIFAR-10 Data preparation`: https://github.com/Microsoft/CNTK/tree/v2.0.beta2.0/bindings/python/tutorials/CNTK_201A_CIFAR-10_DataLoader.ipynb
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.. _`ResNet Classifier`: https://github.com/Microsoft/CNTK/tree/v2.0.beta2.0/bindings/python/tutorials/CNTK_201B_CIFAR-10_ImageHandsOn.ipynb
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.. _`VGG and ResNet classifiers`: https://github.com/Microsoft/CNTK/tree/v2.0.beta2.0/bindings/python/tutorials/CNTK_201B_CIFAR-10_ImageHandsOn.ipynb
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.. _`Language understanding`: https://github.com/Microsoft/CNTK/blob/v2.0.beta2.0/bindings/python/tutorials/CNTK_202_Language_Understanding.ipynb
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.. _`Reinforcement learning basics`: https://github.com/Microsoft/CNTK/blob/master/bindings/python/tutorials/CNTK_203_Reinforcement_Learning_Basics.ipynb
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