Original subtitles

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Hey guys this is adland a second instructor here.

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Now it is my turn to welcome you into the computer vision.

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It is of course and we're going to start with this page that we made for you which contains all the

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resources of the course.

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So not only contains the code templates but also as you will see some additional reading to accompany

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your understanding of the theory explains in the course.

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So this page you can find it at.

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W w w that super data signs that come slash computer haif envision and now in this quilt is all I'm

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going to walk you through this page and show you how you can get all these resources.

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So as you can see it follows the exact same structure as in the course with our three modules and it

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starts with this section.

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Welcome to the course that contains the computer vision is that template folder which contains the whole

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folder structure with three modules.

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But don't be surprised if the folders inside are empty.

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That is just for you to have the main folder of the course that I will use in the different tutorials

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and then later on when you start the modules you will add the different codes and the different resources

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you want.

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So that's just for you to start with the right structure and then you have this second link here which

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is the link to download the virtual platform the virtual platform is a special new tool.

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In this course it contains all the pre-installed packages that you will need to execute the different

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models who will implement.

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And so basically once you install the virtual platform you will never have any installation to worry

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about.

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All right.

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And then you have two different modules of the Course module one face detection with open Sivy module

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two object detection with SSD and module 3 image creation with guns and for each of the three modules

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you will find the same structure.

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First we start with some additional reading so that after you watched intuition lectures by your real

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Who then will recommend some papers to read.

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Well these are these papers here that are in the additional reading section.

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So I recommend to read them that will give you an even deeper understanding of the theory and then of

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course you have the code template.

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So that's where you download the codes and the data sets for you to execute the models.

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So in the code you will see each time one commented version of the code where each line of code is commented

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and one non-committed version of the code and that will be the code we will implement.

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So these are just the same codes.

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But you can choose to see the comments or not.

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And after we implement the code together we will tackle the homework challenge of the section.

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And as you can see for module one face detection with open city the challenge will be to build a happiness

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detector and for this homework and the others you will find the homework challenge instructions and

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the homework challenge solution containing the code of the solution.

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And then of course new to me you will find a video lecture that explains the solution.

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All right and then that's the same for the other modules in module too early detection with SSD will

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find again some additional reading the code templates.

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So here make sure to download the right code template for your system because as you can see the code

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is different whether you have a Mac in Linux or a windows.

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So make sure to download the right one.

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But then in this module you will find a special element.

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It's this one here training the SSD.

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We wanted to separate this element in the structure because training SSD is really overwhelming with

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a huge code.

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So we wanted to put it separately and therefore by clicking on this link you will get the code that

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you can use to train the SSD model and the other code the code here is just for the detection so only

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for this module we separated the detection and the training.

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And then again you'll find the homework challenge of module 2 which is by the way really exciting you

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will see the video.

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It is about detecting some epic horses galloping in Monument Valley.

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So it's actually my favorite Homer challenge in the course and you'll see we're going to have a lot

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of fun on this.

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And so you will find again the homework challenge instructions and the homework challenge solution.

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And then eventually in module 3 image creation with Gannes you will find your additional reading and

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then you will find the code templates which contains not only the code to create some images with generative

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as the social networks but also the code of the training.

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And this time we do everything at the same time.

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All right.

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And no homework for this section because you will see that this is a pretty big section and that's because

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we implement the whole training from scratch.

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But a great and actually the most relevant homework would be to reproduce yourself.

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The training that is recode from scratch the implementation of the Gannes including the training you're

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going to see that this will already be huge an excellent practice.

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All right so that's this page.

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Make sure to always have it open with you.

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It contains some really valuable resources that I highly recommend to check out regularly.

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And now Rylands the virtual platform in the next story also make sure before to click on this link here

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to download it.

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And then once it's downloaded we will install it in the next Tauriel.

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Until then enjoy computer vision.