1 00:00:00,410 --> 00:00:04,770 congratulations on making it this far 2 00:00:03,000 --> 00:00:06,950 I just wanna wrap up and leave you with 3 00:00:04,770 --> 00:00:09,599 a few final thoughts 4 00:00:06,950 --> 00:00:11,880 we've been on quite a journey together 5 00:00:09,599 --> 00:00:13,950 but if you've taken the whole 6 00:00:11,880 --> 00:00:16,890 specialization then you've learned about 7 00:00:13,950 --> 00:00:18,869 new networks and deep learning how to 8 00:00:16,890 --> 00:00:20,789 improve deep neural networks of the 9 00:00:18,869 --> 00:00:22,830 structure machine learning projects 10 00:00:20,789 --> 00:00:25,019 convolutional neural networks and then 11 00:00:22,830 --> 00:00:27,840 in this most recent course sequence 12 00:00:25,019 --> 00:00:30,240 models and I know you work really hard 13 00:00:27,840 --> 00:00:32,759 and I also hope you feel very proud of 14 00:00:30,240 --> 00:00:35,309 yourself for your hard work and for how 15 00:00:32,759 --> 00:00:36,390 much you've done so I want to leave you 16 00:00:35,309 --> 00:00:38,640 one 17 00:00:36,390 --> 00:00:42,750 maybe important thought which is that I 18 00:00:38,640 --> 00:00:44,940 think deep learning is a superpower with 19 00:00:42,750 --> 00:00:47,360 deep learning algorithms you can make a 20 00:00:44,940 --> 00:00:50,670 computer see you can have a computer 21 00:00:47,360 --> 00:00:52,829 synthesize novel art or synthesized 22 00:00:50,670 --> 00:00:54,890 music or you can have a computer 23 00:00:52,829 --> 00:00:58,020 translate from one language to another 24 00:00:54,890 --> 00:01:02,340 maybe have it locally radiology image 25 00:00:58,020 --> 00:01:05,309 and render a medical diagnosis or build 26 00:01:02,340 --> 00:01:08,040 pieces of a car that can drive itself 27 00:01:05,309 --> 00:01:11,970 and if that isn't a superpower I don't 28 00:01:08,040 --> 00:01:14,490 know what is and as we wrap up this 29 00:01:11,970 --> 00:01:17,280 sequence of courses as we wrap up this 30 00:01:14,490 --> 00:01:21,180 specialization I hope that you will find 31 00:01:17,280 --> 00:01:24,360 ways to use these ideas to further your 32 00:01:21,180 --> 00:01:26,909 career to pursue your dreams but perhaps 33 00:01:24,360 --> 00:01:29,900 most important to do whatever you think 34 00:01:26,909 --> 00:01:34,470 is the best work you can do our humanity 35 00:01:29,900 --> 00:01:36,750 the world today has challenges but with 36 00:01:34,470 --> 00:01:39,240 the power of a on power of deep learning 37 00:01:36,750 --> 00:01:41,340 I think we can make it a much better 38 00:01:39,240 --> 00:01:44,490 place and now that you have this 39 00:01:41,340 --> 00:01:47,189 superpower I hope you will use it to go 40 00:01:44,490 --> 00:01:50,180 out there and make life better for 41 00:01:47,189 --> 00:01:52,920 yourself but also for other people and 42 00:01:50,180 --> 00:01:55,439 of course I also hope you feel very 43 00:01:52,920 --> 00:01:57,780 proud of your accomplishments in the 44 00:01:55,439 --> 00:02:00,479 power far you've come and of all that 45 00:01:57,780 --> 00:02:03,060 you've learned and when you complete 46 00:02:00,479 --> 00:02:05,430 this sequence of causes you should also 47 00:02:03,060 --> 00:02:08,509 share it on social media like Twitter or 48 00:02:05,430 --> 00:02:10,800 Facebook and let your friends know and 49 00:02:08,509 --> 00:02:13,319 finally the very last thing I want to 50 00:02:10,800 --> 00:02:15,480 say to you is congratulations on 51 00:02:13,319 --> 00:02:17,969 Nikolas I hope you feel great about your 52 00:02:15,480 --> 00:02:20,670 accomplishments but also I want to thank 53 00:02:17,969 --> 00:02:23,400 you very much I know that you have a 54 00:02:20,670 --> 00:02:25,889 busy life but despite that spends a lot 55 00:02:23,400 --> 00:02:28,170 of time watching these videos and maybe 56 00:02:25,889 --> 00:02:30,840 spent a long time also working on the 57 00:02:28,170 --> 00:02:33,060 quizzes and the programming exercises I 58 00:02:30,840 --> 00:02:35,010 hope you enjoyed it and you got a lot 59 00:02:33,060 --> 00:02:37,620 out of the process but I'm also very 60 00:02:35,010 --> 00:02:39,629 grateful for all your time you spend and 61 00:02:37,620 --> 00:02:42,510 for all your hard work you put into 62 00:02:39,629 --> 00:02:45,019 learning these materials so thank you 63 00:02:42,510 --> 00:02:45,019 very much