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zakruti.com » IT - Software » freeCodeCamp.org
Image Generation using GANs - Deep Learning with PyTorch: Zero to GANs - Part 6 of 6

Image Generation using GANs - Deep Learning with PyTorch: Zero to GANs - Part 6 of 6

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Rating: 4.5; Vote: 2
Image Generation using GANs - Deep Learning with PyTorch: Zero to GANs - Part 6 of 6 Generative Adversarial Networks in PyTorch: https://jovian.ai/aakashns/06b-anime-dcgan - Generative Adversarial Networks using MNSIT: https://jovian.ai/aakashns/06-mnist-gan - Tensorflow 2.1 port of Pytorch - Zero to GANs: https://jovian.ai/kartik.godawat/collections/tf-zero-to-gan - Discussion forum: https://jovian.ai/forum/t/lecture-6-image-generation-using-generative-adversarial-networks-gans/13775 - Generative modeling and applications of GANs - Training generator and discriminator networks - Generating fake digits & anime faces with GANs
Date: 2022-03-14

Comments and reviews: 4


Hey akash , i have a query.
When i was trying to create the generator architecture , i didn't include BatchNorm2d layers like your architecture , and the generator always gave me a gray image.
Adding BatchNorm2d solved that problem. Can you explain why that is?

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Sir, I am an undergraduate student with Math(hons.) and i am working on my coding skills as I want to get in IT sector .
So, I am confused that I SHOULD OR SHOULD NOT pursue M.sc (Mathematics and Computing) in ISM Dhanbad ?

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Finished the course with great interest.
Definitely recommend it to other ML learners.
Also, will experiment with the source code and different datasets soon.

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About anime figures. You can clearly tell when a female but male characters are usually quite feminine. Rule of thumb if unsure it is a male.
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