Exploring Neural Network Input-Output using CNTK

The CNTK machine learning code library has become one of my most-used tools. I set out to explore the neural network input-output mechanism using CNTK. My goal was to completely understand how to create a network, assign values to the network’s weights and biases, feed input to the network, and examine the hidden node and output node values.

It took a bit of experimentation, but I am now confident I completely understand how t work with a basic, feed-forward, single hidden layer, neural network.

I’ve been thinking about putting together a set of materials for programmers who are new to CNTK. If I get around to that task, the demo program I just wrote will definitely be the first code presented.


“Input-Output” – unknown artist

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