Deep Learning Part - II (CS7015): Lec 22.2 Generative Adversarial Networks - Architecture

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Deep Learning Part - II (CS7015): Lec 22.2 Generative Adversarial Networks - Architecture
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Sir, you are such a treasure. you truly care about your students understanding the topic well. The way you stop and ask the audience certain questions, the way you explain, the pace, near to perfection. I feel really comfortable following your lecture. All the best & thank you very much!

gnomeofzurich
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I have not seen a better explanation of transposed convolution anywhere than this.

dhaivatbhatt
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in 1024 * 4 * 4, 1024 correspond to channel right, meaning from 100d noise vector we generate an image of 4* pixels with 1024 channels and the the goal is to reduce the channel to 3 and upsample the pixel to 64*64, is this understanding correct ?

deeplearningai
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Please remove that horrible music at the end of each videos.

PankajSingh-tmoq