Build a Generative Adversarial Neural Network with Tensorflow and Python | Deep Learning Projects

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Want to get your hands dirty building a deep learning powered GAN with Python? Well in this video you’ll learn everything involved to do it from scratch using Python and Tensorflow. You’ll learn how to build your very own Generative Adversarial Neural Network to generate new synthetic datasets.

Chapters
0:00 - Start
0:43 - Explainer
1:40 - PART 1 - Setup Environment
2:02 - Breakdown Board
17:54 - PART 2 - Visualize data and Build Data Pipeline
34:49 - PART 3 - Build the Neural Networks
1:07:28 - PART 4 - Build a Custom Training Loop
1:54:39 - PART 5 - Generating Images
2:00:58 - Ending

Oh, and don't forget to connect with me!

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!
#gan #python #deeplearning
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I started following your channel 3 years ago when I wanted to create my first project in ML during undergrad, currently I am doing my Masters and I am just as excited when I see you have a video on the topics that I need better understanding with! Thanks and lots of love and support!❤

leafiadias
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Really crisp and clear explanations! Very easy to follow. From what I have seen of other videos on GANs is that they simply read out the code without waiting to explain what it does, so I find it really helpful when you explain it step by step.

arshraza
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Your content always rocks! Thank you for putting in the immense time to make these complex concepts understandable and approachable!

jeffpierick
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Recently started watching your videos. They are really good, descriptive and easy to understand. I am a beginner, and was able to grasp the concepts easily.

CEBMANURBHAVARYA
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Very nice tutorial. I love the way you actually explain what all the specific functions do as well. Love your energy, keep it up!

forxia-prime
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this tutorial has been the closest to an Andrew Ng's machine learning course where you build a model from scratch instead of just importing it as a commodity.

satoshinakamoto
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Great work! Data in Ghana is costly but I can't just miss your videos.

roger_island
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This video is one of the best i'v ever seen when it comes to describing an ai method. Everything is described in an easy to understand way, dont jump steps, and in a way which keeps attention. Huge thank you! Also, i would love to see a conditional version! :D

plopparn
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Very humble guy, full of great knowledge, no nonsense talking or flexing

junaidmughal
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Your videos are just incredible, well detailed, it's an excellent way to discover the concepts!!!

maximeentsi
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Hey, just paused the video to drop a quick comment - 'Please make a content for conditional GAN.' Alright, time to resume watching!

mahmutyasiresmek
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Awesome video! I just wanted to ask, why is noise is added to the predicted labels for the discriminator? Wouldn't noisy labels be worse for a classification task?

Kiwi-bbsr
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Thanks Nicholas for your great work !
I use DCGAN to augment my dataset but I didn't get satisfied results with my algorithm, then I realized that the images should be the same ( or at least have similar shape ).

soufianechehboune
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Thanks man Finally I can understand a bit about GANs

saintadel
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yeah it will be great to create a full detailed video on conditional GAN

cyberneticsmentor
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Thank you Nic, your videos help a lot. we're waiting for the next video about GAN ! Thaaanks !

tresormalo
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Thank you for the explanation of each layers so well. It would be helpful for me if you can explain Conditional GAN.

RevathiShendre-kh
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Amazing video ! I would love to see the conditional GAN video. Thank you

luisosorio
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A late comer but keep it up man. Always love your content. I, and I'm sure everyone else, learn a lot.

andybnhquang
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Hey nick, i would love to watch your tutorial on cgan. Thanks for all your deep learning tutorials. Appreciate all your efforts!

darthdaenerys