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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,090 --> 00:00:04,470 Welcome to all of seven Master class deep learning computer phishing course. 2 00:00:04,800 --> 00:00:06,870 Hi, my name is Doctor Printer. 3 00:00:06,900 --> 00:00:12,120 I got my PhD in Artificial Intelligence from Institute of Technology, went to Indonesia and graduated 4 00:00:12,120 --> 00:00:12,960 with distinction. 5 00:00:12,990 --> 00:00:18,450 I have 13 plus years of experience in computer vision and five plus years in artificial intelligence, 6 00:00:18,450 --> 00:00:21,480 in teaching, researching and doing various projects. 7 00:00:21,510 --> 00:00:25,010 I modified YOLO architecture, which made it faster and more accurate. 8 00:00:25,020 --> 00:00:26,940 So YOLO is my expertise. 9 00:00:26,970 --> 00:00:29,580 In this course you will learn how to learn from scratch. 10 00:00:29,580 --> 00:00:34,800 The YOLO v seven Deep Learning Program to detect 80 object classes in less than 10 minutes, you will 11 00:00:34,800 --> 00:00:39,570 easily understand the fundamental theory of deep learning and how exactly convolutional neural networks 12 00:00:39,570 --> 00:00:39,930 work. 13 00:00:40,060 --> 00:00:45,630 You'll be guided on how to do data annotation using label IMG, one of the most popular image annotation 14 00:00:45,630 --> 00:00:46,200 tools. 15 00:00:46,230 --> 00:00:50,880 After the dataset is ready, you will learn how to train the YOLO five seven model on custom dataset 16 00:00:50,880 --> 00:00:52,770 with each and every argument explained. 17 00:00:52,800 --> 00:00:57,630 Then you can evaluate the training result by visualizing its accuracy using the tensor board. 18 00:00:57,660 --> 00:01:00,720 You can stop or continue the training based on your evaluation. 19 00:01:00,750 --> 00:01:05,550 Cost estimation and instant segmentation are two new features that have been added to YOLO since version 20 00:01:05,550 --> 00:01:06,060 seven. 21 00:01:06,090 --> 00:01:10,770 Additionally, you'll be taught how to use these two incredible features by following the tutorial in 22 00:01:10,770 --> 00:01:11,350 this course. 23 00:01:11,370 --> 00:01:14,130 In the end you will have a master detector using your office. 24 00:01:14,130 --> 00:01:14,610 Seven. 25 00:01:14,640 --> 00:01:19,330 The model is so robust that even if you roll your face, it can detect the mask perfectly. 26 00:01:19,350 --> 00:01:21,810 The tutorial can be used to any object you want. 27 00:01:21,930 --> 00:01:26,990 Additionally, you will receive the squat contract, a real world project based on YOLO vs seven post 28 00:01:27,000 --> 00:01:27,790 estimation. 29 00:01:27,810 --> 00:01:32,130 I provide you with the entire source code along with an incredibly true explanation of each and every 30 00:01:32,130 --> 00:01:33,120 source code block. 31 00:01:33,150 --> 00:01:37,200 You can modify it for puzzle setup for any other exercise you want. 32 00:01:38,400 --> 00:01:39,870 So what are you waiting for? 33 00:01:39,900 --> 00:01:40,770 Enroll now. 3176

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