SKU: 56909005399
amazon monsters university dvd

amazon monsters university dvd Bad Panda Shop — Monsters University (2013) 怪獸大學(Region 3 DVD) (Chinese Subtitled)

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Description

amazon monsters university dvd Bad Panda Shop — Monsters University (2013) 怪獸大學(Region 3 DVD) (Chinese Subtitled)Region Coding: Region 3 (Locked) Starring: Animation Director: Dan Scanlon Audio Tracks: Dolby 5. 1 Languages: English, Cantonese , Mandarin Subtitles: English, Traditional Chinese , Simplified Chinese , Indonesian, Malay Running Time: 103 minutes Distributor: Intercontinental Video Ltd. (IVL) HK Release Date: 22 Oct 2013 Synopsis: Mike Wazowski and James P. Sullivan are an inseparable pair, but that wasnt always the case. From the moment these two

Region Coding: Region 3 (Locked)

Starring:
Animation

Director:
Dan Scanlon

Audio Tracks: 
Dolby 5.1

Languages: 
English, Cantonese 粵語, Mandarin 國語

Subtitles:
English, Traditional Chinese 繁體中文字幕, Simplified Chinese 簡體中文字幕, Indonesian, Malay

Running Time: 
103 minutes

Distributor:
Intercontinental Video Ltd. (IVL) HK

Release Date:
22 Oct 2013

Synopsis:
Mike Wazowski and James P. Sullivan are an inseparable pair, but that wasn’t always the case. From the moment these two mismatched monsters met they couldn't stand each other. ‘Monsters University’ unlocks the door to how Mike and Sulley overcame their differences and became the best of friends. Screaming with laughter and fun, ‘Monsters University’ is directed by Dan Scanlon (‘Cars’, ‘Mater and the Ghostlight’, ‘Tracy’) and produced by Kori Rae (‘Up’, ‘The Incredibles’, ‘Monsters, Inc.’). The film opens in Summer 2013, and will be shown in Disney Digital 3D™ in select cinemas.

迪士尼．彼思最優「獸」動畫班底，帶你回到毛毛和大眼仔的讀書年代，揭開這對活寶貝鮮為人知的過去！自小夢想成為驚嚇專員的大眼仔 (王祖藍 聲演)，順利考入了名校「怪獸大學」，卻遇上有天份又有家底的勁敵毛毛 (張繼聰 聲演)。本來兩位明日之星經常鬥個你死我活，但後來因為共同面對被趕出校的危機，以及在多個爆笑歷險中出生入死，終於化敵為友結為最佳拍檔！

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SKU: 56909005399

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Amazon Customer
Bozeman, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
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MrGee
Battle Creek, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
Massapequa, 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
Cuba, 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
Houston, 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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