1
00:00:05,940 --> 00:00:12,430
Everybody has a go and this is Caleb with Dev slopes and welcome to the Carmel 2 section of the Iowa

2
00:00:12,490 --> 00:00:13,510
12 course.

3
00:00:13,510 --> 00:00:16,290
We're really really excited to show you the app you're going to build.

4
00:00:16,300 --> 00:00:22,480
Basically we're going to begin by creating and training your very own machine learning model using photos

5
00:00:22,480 --> 00:00:24,360
that we source from the internet.

6
00:00:24,550 --> 00:00:27,520
Then we're going to use that model to create this application.

7
00:00:27,640 --> 00:00:33,010
And what you can do is you can tap on the photo icon tap choose photo or take photo and then you can

8
00:00:33,010 --> 00:00:35,770
choose in a photo of an animal.

9
00:00:35,770 --> 00:00:40,900
And when you select that photo what it's going to do is it's going to analyze it and then classify it

10
00:00:41,170 --> 00:00:45,940
and as you can see here our machine learning model predicted with 98 percent accuracy that this is a

11
00:00:45,940 --> 00:00:46,780
dog.

12
00:00:46,780 --> 00:00:53,080
Now if I did that again with another animal maybe a bird it would say ninety nine point nine percent

13
00:00:53,080 --> 00:00:54,250
sure that it's a bird.

14
00:00:54,400 --> 00:00:57,030
And this is a model that I trained myself.

15
00:00:57,040 --> 00:00:58,180
This lizard photo.

16
00:00:58,360 --> 00:01:00,990
What it's going to do is going to say 100 percent.

17
00:01:01,090 --> 00:01:03,260
That's how certain it is that it's a lizard.

18
00:01:03,310 --> 00:01:05,330
Very very cool stuff.

19
00:01:05,380 --> 00:01:11,800
And this is what we're going to build it's a very simple app but it uses some amazing hardcore technology.

20
00:01:11,800 --> 00:01:12,670
Let's dive right in.

21
00:01:12,670 --> 00:01:15,870
Let's head over to the next video and let's train our model.