1 00:00:00,610 --> 00:00:07,090 OK so welcome to the big famous chapter in this goes on convolutional neural nets. 2 00:00:07,090 --> 00:00:10,630 This is basically the core of the core so please pay attention. 3 00:00:10,660 --> 00:00:16,060 This chapter is going to get a very good explanation on convolutional you on that convolutional neural 4 00:00:16,060 --> 00:00:17,950 nets I guarantee it. 5 00:00:17,950 --> 00:00:19,580 So what does this chapter include. 6 00:00:19,660 --> 00:00:26,530 Let's see firstly do a brief introduction to convolutional neural nets or CNN is for short because I'll 7 00:00:26,540 --> 00:00:28,700 see if me a lot of time to say that we. 8 00:00:29,230 --> 00:00:34,980 So we talk about convolution of convolutions and image features in the next chapter then depth straight 9 00:00:34,980 --> 00:00:35,590 and putting. 10 00:00:35,650 --> 00:00:37,450 You'll understand that soon. 11 00:00:37,450 --> 00:00:41,220 What really is which we talked about before but how it applies to CNN. 12 00:00:41,230 --> 00:00:50,290 Now what the pooling is what a fully connected layer is and how we try and CNN's And lastly how to design 13 00:00:50,350 --> 00:00:51,620 you and CNN. 14 00:00:51,910 --> 00:00:54,750 So I hope you're looking forward to this chapter. 15 00:00:54,970 --> 00:00:57,670 It's going to be fun and you're going to learn quite a bit. 16 00:00:57,700 --> 00:00:58,870 I guarantee it.