1 00:00:05,620 --> 00:00:09,939 Welcome back to this another machine learning tutorial. Today we're going to create a project 2 00:00:09,939 --> 00:00:16,800 that is based on sound and in this project we'll train a computer to understand an alien language 3 00:00:16,800 --> 00:00:24,140 or our language and we'll use that we'll use that model of sound and language to control 4 00:00:24,140 --> 00:00:29,660 an alien character. Okay so let's get started. First of all this is your dashboard and once 5 00:00:29,660 --> 00:00:37,899 log in you will see this go to projects and click on add new project okay so this project will be 6 00:00:37,899 --> 00:00:48,409 named as this project will be named as alien language and the recognizing model is sound 7 00:00:50,009 --> 00:00:57,210 okay let's press create after that once you clear once you have created this project you 8 00:00:57,210 --> 00:01:04,010 will just click on this project and go to train okay so this is the background noise block and 9 00:01:04,010 --> 00:01:09,049 we have to give it some examples of our background noise without even speaking so the computer can 10 00:01:09,049 --> 00:01:14,250 recognize which is our sound and which is the background noise okay so we'll just click add 11 00:01:14,250 --> 00:01:27,590 example and stay silent and let the background noise fill the fill these examples make sure that 12 00:01:27,590 --> 00:01:33,530 you add multiple examples I would suggest that you add at least ten okay 13 00:01:33,530 --> 00:01:37,469 so once you are done with ten examples of for background noise we'll create a 14 00:01:37,469 --> 00:01:44,109 new label go to this add new label and we'll create a label for left and in 15 00:01:44,109 --> 00:01:50,950 this label will add examples of us speaking left ten times so the start by 16 00:01:50,950 --> 00:02:05,420 creating ad example click on this button and say left left left left okay so as 17 00:02:05,420 --> 00:02:10,199 you can see that these all examples of left have a pictorical representation 18 00:02:10,199 --> 00:02:14,539 and as you can see that these are quite similar to each other because these are 19 00:02:14,539 --> 00:02:21,120 the representation of sound waves and once you say left then that left will be 20 00:02:21,120 --> 00:02:26,259 similar to the previous left okay so we'll just create a new label and this 21 00:02:26,259 --> 00:02:40,509 time we'll name them right and add the examples for right right right okay so 22 00:02:40,509 --> 00:02:44,229 once we have ten examples each of background noise left and right you can 23 00:02:44,229 --> 00:02:48,990 add as many words and commands as you like but for this example we're gonna go 24 00:02:48,990 --> 00:02:55,169 with left and right okay you can go back to project and go to learn and test and 25 00:02:55,169 --> 00:03:04,259 test this machine learning model train this new machine learning model okay so 26 00:03:04,259 --> 00:03:09,639 it will start training machine learning model and it will take some time so wait 27 00:03:09,639 --> 00:03:15,759 for it and if in a minute it says training from training it says available 28 00:03:15,759 --> 00:03:19,580 then you are ready to go if it takes more than a minute prior refreshing your 29 00:03:19,580 --> 00:03:28,750 page and let's see when this when it's available okay so as you can see that 30 00:03:28,750 --> 00:03:36,110 this model to the training model is now available and it's trained so we can test it by making a 31 00:03:36,110 --> 00:03:43,629 sound and recognizing and seeing that how it is recognized by the computer so we'll click on start 32 00:03:43,629 --> 00:03:49,310 listing and produce a sound and then we'll click on stop listening and then we'll see how the 33 00:03:49,310 --> 00:04:04,319 computer recognizes that okay so you can start listening left okay now we can test this model 34 00:04:04,319 --> 00:04:17,069 by click and start listening left right yeah so it works right it recognizes left as left 35 00:04:17,069 --> 00:04:20,670 and right is right okay so we'll go back to project and we'll create something 36 00:04:21,230 --> 00:04:28,670 using this model and we'll go for that we'll go to make and use scratch 3.