1 00:00:02,620 --> 00:00:08,300 Hi and welcome to chapter 8 where we actually get to build a CNN Karris. 2 00:00:08,350 --> 00:00:10,410 So this is going to be an exciting chapter. 3 00:00:10,420 --> 00:00:12,120 And here's what we're going to learn. 4 00:00:12,310 --> 00:00:15,560 Fiercly brief introduction to Chris intenser flow. 5 00:00:15,580 --> 00:00:20,820 What they are and how we used them how we start building handwriting recognition. 6 00:00:20,850 --> 00:00:26,700 Basically our approach to this problem how we look at our data how we get our data in the right shape 7 00:00:26,760 --> 00:00:36,450 or format for Chris what is hot one in coding how we build and compile or model how we train or classify 8 00:00:36,900 --> 00:00:38,720 how we plothole loss accuracy. 9 00:00:38,720 --> 00:00:42,750 So we've seen before what we see of it on model. 10 00:00:42,750 --> 00:00:47,010 So after we train it we can save it and reuse it any time we want. 11 00:00:47,010 --> 00:00:48,300 How do you display. 12 00:00:48,420 --> 00:00:50,220 Basically our model visually. 13 00:00:50,250 --> 00:00:53,490 So it's like a architecture blueprint of our model. 14 00:00:54,180 --> 00:01:01,300 And basically how we actually can now build another image classifier using the c14 data set. 15 00:01:01,320 --> 00:01:02,380 So let's get started.