Text recognition with Machine Learning for Kids

so today we're gonna learn how to create make me so make me happy as a machine learning tool 00:00:06

and so let's begin first of all you have to go to the machine learning for kids shortcode UK 00:00:22

in your web browser and then click login if you don't have the login ID and password if you don't 00:00:29

know how to set up it you can go to the setup video and look at there okay so 00:00:37

I'm gonna log in and with my credentials logging it okay so once you are logged 00:00:44

in you have to go to your projects and all your projects will be mentioned here 00:00:55

okay so we will as you can see I have already created some projects and we 00:01:03

gonna create a new project so click on add a new project and just name this 00:01:10

project whatever you want make me happy happy and this is a text based learning 00:01:18

model so we will select text and in the language will keep English and then we 00:01:27

click create okay so once you have your project make me happy you can click on 00:01:33

this project and then you will have three options first of all is train then 00:01:40

learn and test then make so first of all we will train this model since it's a 00:01:47

learning bit learning model based on text will train it okay so in order to 00:01:51

train you have to add some buckets or training data in order to do that we 00:01:57

have will add a new label and name this label as happy and then we'll create 00:02:03

another label and we'll name it as sad now we can add multiple examples in 00:02:13

these in these buckets that will make our character happy or sad so I can 00:02:20

write ice cream in the happy I can write lunch in the happy I can write holidays 00:02:30

we have all these examples set up we can go back to the project and then we can 00:02:43

learn and test the data we have just given to the machine learning model so 00:02:50

we'll add this train new machine learning model and it will create it 00:02:55

will train the model based on the data given by us and it's gonna take it will 00:02:59

take some time and for that we can wait and it will once it's done okay so once 00:03:07

it's done training the model it will shift this training to trained and we 00:03:14

can proceed from there okay so as you can see the training model has been done 00:03:20

and it's available for the use and it will be deleted by the next day so we 00:03:25

have to use this training model and our examples will be saved in that project 00:03:31

but in order to retrain in order to use this model again after this date we have 00:03:36

to retrain the model okay so we can test it here and if I write idiot it will be 00:03:40

recognized as sad with 85% confidence and if I write here football it will be 00:03:48

recognized as happy so we can test this model and if the model is not up to 00:03:59

scratch up to our limit up to our requirements we can just go back and add 00:04:05

more examples and then retrain this model so that this model is up to our 00:04:10

requirements okay so we can go back to the project and click on make now in 00:04:14

order to in order to use this model we will use scratch 3 but you can use 00:04:20

scratch Python anything you like and we're going to just open scratch 3 okay 00:04:24

so as you can see this is the default scratch 3 interface there is a sprite 00:04:31

and it's a cat we can move this type and first of all we will delete this stripe 00:04:37

and create a new stripe and paint okay so this will be our model will name its 00:04:42

costume one to be okay and it will be our default face and will create a face 00:04:50

like shape and just make sure that it looks like a face so that okay so one 00:05:00

nice bigger one eye smaller it doesn't matter so this is our okay face then we 00:05:14

can duplicate this sprite and change its name to happy and we'll grab a 00:05:21

the brush increase the brush size and create a happy face like this then we 00:05:31

can duplicate it again you can say side and we can just delete this happy face 00:05:50

and add a sad face it's simple okay so now we have three responses of our 00:06:01

character one is okay one is happy and one is sad so we'll go back to code and 00:06:10

we will go back go to control panel and we'll go to events and click on when flag is clicked 00:06:20

there are two flags as you can see this is the go flag and this is the stop flag 00:06:31

okay so it's used to run the program and this one stop is used to stop the program it's quite 00:06:35

self-explanatory 00:06:44

Okay, so then we will use 00:06:47

switch costume to okay, and then we will go to the 00:06:50

control 00:06:57

go to 00:07:00

sensing and ask 00:07:01

So the the character will ask tell me something and it will wait until you tell you until you tell it 00:07:04

Something and the your answer will be saved in this variable known as answers 00:07:16

and then we will go to control and we'll select the if-else condition now if the 00:07:22

thing we said to the character makes it happy and recognized as happy then the 00:07:35

character will change its face to happy and if it's recognized as sad the 00:07:41

character will change its face to sad so it's quite simple so we'll grab this 00:07:45

make me happy will grab this recognize text block from make me happy and when 00:07:50

put it right there and in the text in the text column of this recognize text 00:07:55

will place the answer and will go to operators and if and find equal to okay 00:08:03

and then we'll remove this 50 since we are working with text not with okay so 00:08:13

we'll place this answer into operator and if is if it if what we have written 00:08:22

is recognized as happy then then the whole thing will the character will 00:08:30

change its looks change its costume to happy otherwise it will change its 00:08:45

costume to sad now this is the basic premise of our project and as you can 00:08:54

see the project is already there and there is a happy and sad sign so we can 00:09:03

just click on run project and I'll say that you are an idiot 00:09:07

okay so as you can see that the model is sad 00:09:13

you 00:09:21

Text recognition with Machine Learning for Kids - Contenido educativo

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