![]() ![]() Other settings are preselected by the expert wizard for this type of task. ![]() Specify small convolutional neural network architecture (add 1 convolutional layer with 3 channels that perform image filtering and feature detection, one max-pooling layer that scales down an image, and one fully connected layer that helps with classification with width 16).These settings are not critical for this small data set, so other settings would work as well. Set image data preprocessing option: resize and center, uncheck invert pixels and upsample to balance classes.Wizard will automatically detect or generate category labels image index. Specify image directory to unpacked downloaded image set.Choose option (since there are only two categories of images: duke or non-duke image).Create a new Deep Netts project by clicking in the main menu, enter the project name and click.Run the Deep Netts development tool (for details you can look at Getting Started doc in the downloaded package).Download the image data set with examples of Duke and Non-Duke images. ![]()
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