SKU: 188864486

Nina the Starry Bride Vol.9

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Nina the Starry Bride Vol.9Series: Nina the Starry Bride Author: Rikachi Item Type: Paperback Imprint: Kodansha Comics Release Date: 04 29 2025 ISBN: 9781646519903 Nina was plucked off the streets because she resembled a dead priestess but is this a lucky break, or a new kind of curse? Winner of the Kodansha Manga Award, this fantasy shojo manga features intertwining constellations of palace intrigue and perilous romance, for fans of The Ancient Magus' Bride, The Apothecary

Series: Nina the Starry Bride

Author: Rikachi

Item Type: Paperback

Imprint: Kodansha Comics

Release Date: 04/29/2025

ISBN: 9781646519903

Nina was plucked off the streets because she resembled a dead priestess--but is this a lucky break, or a new kind of curse? Winner of the Kodansha Manga Award, this fantasy shojo manga features intertwining constellations of palace intrigue and perilous romance, for fans of The Ancient Magus' Bride, The Apothecary Diaries, and Snow White With the Red Hair.

Nina had a rough start to life, orphaned and stealing to survive, only to be abducted for her unusual lapis lazuli eyes. But to her surprise, her captor, Prince Azure, ordained that she would live the life of a princess...specifically, that of the recently deceased princess-priestess, Alisha, who had her same eyes. Despite her changing fortune, Nina won't give up her old life without a fight. Azure might just be the one to finally match her wits, but how much can she trust him? And can she stop the feelings budding in her heart, knowing she must eventually marry another...?

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SKU: 188864486

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R. Cote
Port Orchard, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Carnegie, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Waukegan, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Pawtucket, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025
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3rd Act
Whiting, US
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024

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