Pytorch Neural Style Transfer Tutorial

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In this tutorial we go through the essentials of neural style transfer and code it from scratch in Pytorch.

Paper:

Resources (Lectures by Andrew Ng):

Also looked at:

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OUTLINE:
0:00 - Introduction
0:49 - Explanation of NST (Neural Style Transfer)
5:21 - Coding NST from scratch
23:00 - Training and Results
23:34 - The reason you're here
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The best style transfer tutorial ever !

soul
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Awesome videos. Really like your way of explanation

bajrangchapola
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Upload more on segmentation and detection like mask rcnn, deep lab and also abt gan ( pix2pix, cycle gan)...hope we get soon 😃

sulavojha
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Good explanation and unique content as usual

venkatesanr
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Can't tell you how much happy I am really really means a lot to me thank you thank you so so so so much ❤️❤️❤️❤️just thanks for listing to me ....I am really really very happy ....you always support me ....you are my inspiration ...thank you much. ....# your most exited and favourite subscriber❤️❤️

thecros
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hey! how do i save this model?
Thanks for the video btw, i enjoy coding it:)

felipegonzalez
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amazing thank you for the tutorial i just refered the paper and your code made it more engraved in my mind. 1 small issue that the code is very very slow (im running on t4gpu collab) is there a way to optimise it?

susdoge
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Loved the explanation part!

Can you please make some videos on CycleGAN and Pix2Pix... As only you are able to explain everything in minimal and clear words

toobieb
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Thank you for your great video❤
I have an error like this : not enough values to unpack (expected 4, got 3)
we have 3 argument width, height and channel
SO what should I do about batch_size?
I will be so happy if guide me about this❤

zahrajavanmard-rsni
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Question:
If the model doesn't change, and the style image doesn't change, why we compute at every iteration the gram matrix of the style feature from scratch? Moreover, there is no reason to compute the style features / original features from scratch too, right?

Thanks in advance!

MorisonMs
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have you tried to save the model ? and one more question do i need new model for each style or one model learns different style just by training only one style ?

andranikarakelov
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I didn't understand how the pixel value of generated images is changing and converging?

navinbondade
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Hey. Would it be possible on your part to upload tutorials on object detection algorithms out there? Your explanation is so clear and concise. Thanks a lot for these helps.

tawheedrony
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Hi, I don't think you can freeze the parameters of a module by calling its eval() function. I think the eval() just changes some modules' behaviors such as dropout

obsidian
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Hi, one thing I didn't understand: where is the value of "generated" updated?

sxrtlmb
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Thanks for great tutorial! Just one doubt. I always thought that optimizer only works on model only. When you passed the [generated] instead of model.parameters(), does it means it will update on the generated image rather than model weights?

Thanks

sahil-
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Can you make an image captioning model in pytorch using word embeddings and small datasets like flicker8k or 30k

mohitsinghpawar
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Thanks man, i want to know it is from which paper, i want to read it.

biaoyi
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Can I know your next plan like Computer Vision/NLP tasks

venkatesanr
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almost fall asleep while listening your video

fubukisophicha