Deep neural networks are made up of many hidden computational layers. Most people tend to think that neural networks are black boxes which are extremely hard to fathom. In this webinar, we show how you can look under the hood of a Convolutional Neural Network and find out what is happening in the different layers so that you can gain insight into how we perform classification or find features using a neural net. Using MATLAB, it becomes simple to take apart a network and visualise the steps taken in each layer.
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