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CS 230 - Convolutional Neural Networks Cheatsheet - Stanford University

WebAfter having removed all boxes having a probability prediction lower than 0.6, the following steps are repeated while there are boxes remaining: For a given class, • Step 1: Pick the box with the largest prediction probability. • Step 2: Discard any box having an $\textrm {IoU}\geqslant0.5$ with the previous box. WebJun 8, 2024 · As the training progresses, the CNN continuously adjusts the filters. By adjusting these filters, it is able to distinguish edges, curves, textures, and more patterns and features of the image. While this is an amazing feat, in order to implement loss functions, a CNN needs to be given examples of correct output in the form of labeled training ... eggs and rice recipe

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