Making sense of convolutions in DNNs for Image Recognition applications

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In this lecture we aim to understand and explain the behavior of a deep convolutional neural network. By analyzing the response of each layer we gain knowledge how the CNN is working, and what triggers a given neuron. We also perform a “sensitivity analysis” in order to explain which features or pixels in the input image that is important for the corresponding network output (prediction), and which pixels are the network sensitive to.

The lecture will be held by Dr. Arnt-Børre Salberg, Norwegian Computing Center.