Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,450 --> 00:00:02,960 Hello and welcome back to the course of computer vision. 2 00:00:02,960 --> 00:00:09,380 And welcome to the section on single shot multi box detection algorithm. 3 00:00:09,510 --> 00:00:13,090 So plan of attack in this section we will learn. 4 00:00:13,320 --> 00:00:19,590 First of all Hala the single shot detection or D for short algorithm is different to others and what 5 00:00:19,590 --> 00:00:27,780 are the innovations that it has brought in that help and become help to become one of the top algorithms 6 00:00:27,870 --> 00:00:28,980 in the world. 7 00:00:28,980 --> 00:00:34,570 They will talk about the multi box concept predicting object positions how it handles. 8 00:00:34,680 --> 00:00:38,360 This is the handles that and the scale problem. 9 00:00:38,370 --> 00:00:46,080 So some very important parts of this as you will not cover everything related to this but we'll look 10 00:00:46,950 --> 00:00:53,690 at some of the most important concepts underpinning the things that happen in sadness as the hour. 11 00:00:53,710 --> 00:00:59,040 So that should hopefully give you a better understanding of intuition and things when you go into the 12 00:00:59,040 --> 00:01:04,460 practical stories and an important note is that we've got an X is at the bottom of the course and I 13 00:01:04,450 --> 00:01:11,030 think number one is artificial neural networks for CNN's and some illusional neural networks on CNN. 14 00:01:11,790 --> 00:01:19,470 These are very important for this section because we will be heavily relying on a basic understanding 15 00:01:19,500 --> 00:01:24,330 of what can be illusional neural networks are and how artificial neural networks are trained. 16 00:01:24,330 --> 00:01:33,420 So if you haven't seen these before if you haven't seen these in our other courses or if you haven't 17 00:01:34,020 --> 00:01:39,630 studied artificial neural networks or commercial neural networks and you need or you need a refresher 18 00:01:39,630 --> 00:01:45,840 on them then I highly recommend going first to the annexes and going through them understanding the 19 00:01:45,840 --> 00:01:50,400 concepts there and then coming back to the section even though it will take time. 20 00:01:50,400 --> 00:01:52,540 Those are quite long annexes. 21 00:01:52,890 --> 00:01:59,490 It will be very beneficial and will really speed up your how quickly you will grasp the concept that 22 00:01:59,490 --> 00:02:00,650 we talk about here. 23 00:02:00,660 --> 00:02:03,910 And on that note I can't wait to get started with this section. 24 00:02:03,930 --> 00:02:05,850 I look forward to seeing the first tutorial. 25 00:02:05,970 --> 00:02:08,010 And until then the computer vision. 2955