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So you're just about to reach the end of

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the first week of material on the first course in this specialization.

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Let me give you a quick sense of what you'll learn in the next few weeks as well.

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As I said in the first video,

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this specialization comprises five courses.

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And right now, we're in the first of

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these five courses which teach you the most important foundations,

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really the most important building blocks of deep learning.

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So by the end of this first course,

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you know how to build and get to work a deep neural network.

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So here the details of what is in this first course.

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This course is four weeks of material.

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And you're just coming up to the end of

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the first week when you saw an introduction to deep learning.

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At the end of each week,

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there are also be 10 multiple-choice questions that

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you can use to double check your understanding of the material.

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So when you're done watching this video,

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I hope you're going to take a look at those questions.

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In the second week, you then learn about the Basics of Neural Network Programming.

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You'll learn the structure of what we

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call the forward propagation and the back propagation

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steps of the algorithm and how to implement neural networks efficiently.

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Starting from the second week,

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you also get to do a programming exercise

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that lets you practice the material you've just learned,

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implement the algorithms yourself and see it work for yourself.

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I find it really satisfying when I learn about algorithm and they

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get it coded up and I see it worked for myself.

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So I hope you enjoy that too.

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Having learned the framework for neural network programming in the third week,

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you code up a single hidden layer neural network. All right.

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So you learn about all the key concepts needed

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to implement and get to work in neural network.

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And then finally in week four,

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you build a deep neural network and neural network with

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many layers and see it worked for yourself.

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So, congratulations on finishing the videos after this one.

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I hope that you now have a good high-level sense of what's happening in deep learning.

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And perhaps some of you are also assigned to,

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has some ideas of where you might want to apply deep learning yourself.

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So, I hope that after this video,

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you go on to take a look at the 10 multiple choice questions that follow this video

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on the course website and just use

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the 10 multiple choice questions to check your understanding.

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And don't review, you don't get all the answers right the first time,

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you can try again and again until you get them all right.

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I found them useful to make sure that I'm understanding all the concepts,

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I hope you're that way too.

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So with that, congrats again for getting up to

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here and I look forward to seeing you in the week two videos.