Neural Style Transfer using Keras with TensorFlow | FavTutor

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Neural Style Transfer is a technique based on Deep Learning and Function Optimization in which the style and overall texture of the Style Image is imprinted on the Content Image without significantly changing the objects of the Content Image.
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Exactly what i was looking for, great literature, not only did she explained the keras implementation but also take us through the reasoning behind the algorithm,
thanks for the amazing video 👍🏻

Hope to see more exciting videos from you guys, keep it up 🖖

varunkochar
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Can you provide the github link for the code demonstrated?

apunbhagwan
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Wonderfully explained dea ❤️ Really very informative
U was very clear and perfect
All the best bae😘

harshithamanikumar
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Great video!!!! I was thinking if exist another way to implement the loss function without use the gram matrix?? Or maybe change the function fmin_l_bfgs_b by another optimizer?

rodrigonicolassuarezlausz
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Very good explanation, Can you explain variation loss for the neural style transfer in more detail

Aldrinf