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  • This video summarizes what we have discussed until now in the course on CNNs. We have seen how Overfeat network works.
  • In this video we will see the differences between Image Classification, Localization,
  • In this tutorial we show you how to build a custom
  • We are familiar with the concept of calculating Accuracy. But to correctly evaluate ML models, we need other measures.
  • Chapter 8 Guide | CNN | Object Detection | EvODN

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In this video we will see why we need I will be giving an intuition as to why we need many samples to train our ConvNet and will also be explaining how to split your ... Until now we have seen Classification and Localization. With this knowledge lets think of ways to do Until now in the previous chapter we have discussed Image Classification. That is, given an image with one

YOLO (You only look once) is a state of the art

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