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

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Nicholas Renotte

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.

Get the code: https://github.com/nicknochnack/GANBasics

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!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

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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42 thoughts on “Build a Generative Adversarial Neural Network with Tensorflow and Python | Deep Learning Projects”

  4. I am new to GAN and ML. Here is a doubt i had: we had Reshape(7,7,128) and then upsampled it to 28 ,28. Why we didnt gave input as Reshape(28,28,128) and What would have happend if we did.

  5. In thumbnail you look like you own a chain of restaurants in Texas by the name 'Los Pollos Hermanos'.😅

    Anyways great video bro 🎉keep bringing us quality content.

  7. 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!❤

  12. Hi! Great tutorial for the simple images. However, I tried to apply the samepeople's photos data set and got an overfitted model (Precission:1.0 Recall:1.0, Accuracy:1.0), as well to much jitter in the performance curve. How can I deal with it?

  17. I can't figure out how to fix the "img.save( os.path.join( 'images', f'generated_img_{epoch}_{i}.png' ) )" line in the modelmonitor class on the newest version. Has anyone found a solution?

  25. I was trying to use the generatormodel.h5 (from your GitHub repo). While loading this model in my code, I got the error: ValueError: axes don't match array. Could you please explain why this happened?

  28. i just followed this tutorial on high level. if my question doesnt make sense forgive me. is there any chance while training generator generates shoe for input shirt. In this case discriminator considers generator output as real. In the end GAN generates fake shoe image for real shirt image.

  32. I have a question sir!!.

    This is "total_d_loss = self.d_loss(y_realfake,ythat_realfake)" Shouldn't it be changed like this?
    -> self.d_loss(ythat_realfake, y_realfake) Shouldn't it be changed like this?

  33. I got this error and all i did was replicate what you just did: ValueError: Found unexpected instance while processing input tensors for keras functional model. Expecting KerasTensor which is from tf.keras.Input() or output from keras layer call(). Got: <keras.src.engine.sequential.Sequential object at 0x791d95a59090>
    Can you please explain why i am getting this and how i can solve it?

  34. Thank you for the video it was really good. I have 2 questions: How can I make dataset out of pictures and how can I train my network in multiple runs if I e.g. don't wanna let my pc running at night?

  41. hey this was an amazing video and i learned a lot THANKS mate, nut when i load the pretrained model i am having an error stating axes don't match . It would be really helpful if you could tell me why the pretrained model cant be used

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