Original subtitles

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Hello and welcome back to the course of computer vision.

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And welcome to the section on single shot multi box detection algorithm.

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So plan of attack in this section we will learn.

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First of all Hala the single shot detection or D for short algorithm is different to others and what

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are the innovations that it has brought in that help and become help to become one of the top algorithms

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in the world.

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They will talk about the multi box concept predicting object positions how it handles.

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This is the handles that and the scale problem.

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So some very important parts of this as you will not cover everything related to this but we'll look

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at some of the most important concepts underpinning the things that happen in sadness as the hour.

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So that should hopefully give you a better understanding of intuition and things when you go into the

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practical stories and an important note is that we've got an X is at the bottom of the course and I

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think number one is artificial neural networks for CNN's and some illusional neural networks on CNN.

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These are very important for this section because we will be heavily relying on a basic understanding

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of what can be illusional neural networks are and how artificial neural networks are trained.

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So if you haven't seen these before if you haven't seen these in our other courses or if you haven't

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studied artificial neural networks or commercial neural networks and you need or you need a refresher

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on them then I highly recommend going first to the annexes and going through them understanding the

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concepts there and then coming back to the section even though it will take time.

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Those are quite long annexes.

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It will be very beneficial and will really speed up your how quickly you will grasp the concept that

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we talk about here.

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And on that note I can't wait to get started with this section.

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I look forward to seeing the first tutorial.

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And until then the computer vision.