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宇宙第一喵星人星空導覽 (史都華．艾特金森 Stuart Atkinson): Stuart Atkinson : Brendan Kearny : (Flicette) Stuart Atkinson 30BBC Brendan Kearny
作者: 史都華．艾特金森 Stuart Atkinson | 繪者: 布蘭登．吉爾尼 Brendan Kearny | 譯者: 王心瑩
每當夜晚來臨，明亮的天空漸漸變成一片無盡的黑，我們可以看到許多亮點逐漸現身，它們就像是慢慢的張開了眼睛，還一閃一閃的眨著眼睛，彷彿也正在回望著我們……
你猜到它們是什麼了嗎？沒錯！就是天上的星星！
在宇宙第一喵星人菲莉瑟蒂的陪伴下，我們將一起遊覽這個美到不行的星空，學習：
觀星必備的裝備
星星的命名方法
恆星的特徵
星座與星群
星空的週期變化
四季的代表星座與它們名字的故事
月亮的誕生與陰晴圓缺
日全食、月全食
太陽系八大行星
流星與隕石
絢麗的極光
太空站、人造衛星與太空垃圾
星系、星雲與星團
觀星的工具……等等，
從星座到遙遠的星系，你能想到關於星空的知識，這本書裡應有盡有！
現在就跟著喵星人菲莉瑟蒂一起探索星空的各種奇景與觀察方法，成為一個超厲害的觀星人！
本書特色
本書以貓咪菲莉瑟蒂做為主角，而她的名字，沒錯，與第一隻上太空的貓菲莉瑟蒂(Félicette)一模一樣！以相同的名字向她致敬，並稱她為「宇宙第一喵星人」！
藉由「宇宙第一喵星人」菲莉瑟蒂一步步的引導及介紹，向讀者解說各種星體（如恆星、行星、衛星）、星座（如仙后座、小熊座……），和天文現象（如月相變化、極光）等，以及許多可以利用的觀星工具與知識，並於結尾加上做為重點整理的名詞解釋單元及索引，增加讀者的閱讀記憶及查找的便利。
不僅如此，本書知識範圍極廣，除了包含國小中高年級的自然領域中，關於月亮、太陽、星星與星座的知識，更延伸至國高中地球科學領域裡，關於宇宙與太陽系、日地月的相對運動、恆星亮度與顏色之關係，和星雲及星團的介紹等，適合做為給對自然科學（尤其是天文領域）有著深深興趣的孩子，做為探索新知識的起點！
星空其實一直都存在於我們身邊，現在就讓我們跟著這隻觀星喵星人的腳步（肉球），重新學會觀賞這片浩瀚星空的魅力所在！
你猜到它們是什麼了嗎？沒錯！就是天上的星星！
在宇宙第一喵星人菲莉瑟蒂的陪伴下，我們將一起遊覽這個美到不行的星空，學習：
觀星必備的裝備
星星的命名方法
恆星的特徵
星座與星群
星空的週期變化
四季的代表星座與它們名字的故事
月亮的誕生與陰晴圓缺
日全食、月全食
太陽系八大行星
流星與隕石
絢麗的極光
太空站、人造衛星與太空垃圾
星系、星雲與星團
觀星的工具……等等，
從星座到遙遠的星系，你能想到關於星空的知識，這本書裡應有盡有！
現在就跟著喵星人菲莉瑟蒂一起探索星空的各種奇景與觀察方法，成為一個超厲害的觀星人！
本書特色
本書以貓咪菲莉瑟蒂做為主角，而她的名字，沒錯，與第一隻上太空的貓菲莉瑟蒂(Félicette)一模一樣！以相同的名字向她致敬，並稱她為「宇宙第一喵星人」！
藉由「宇宙第一喵星人」菲莉瑟蒂一步步的引導及介紹，向讀者解說各種星體（如恆星、行星、衛星）、星座（如仙后座、小熊座……），和天文現象（如月相變化、極光）等，以及許多可以利用的觀星工具與知識，並於結尾加上做為重點整理的名詞解釋單元及索引，增加讀者的閱讀記憶及查找的便利。
不僅如此，本書知識範圍極廣，除了包含國小中高年級的自然領域中，關於月亮、太陽、星星與星座的知識，更延伸至國高中地球科學領域裡，關於宇宙與太陽系、日地月的相對運動、恆星亮度與顏色之關係，和星雲及星團的介紹等，適合做為給對自然科學（尤其是天文領域）有著深深興趣的孩子，做為探索新知識的起點！
星空其實一直都存在於我們身邊，現在就讓我們跟著這隻觀星喵星人的腳步（肉球），重新學會觀賞這片浩瀚星空的魅力所在！
作者
史都華．艾特金森 Stuart Atkinson
英國科普書籍和科幻小說作家兼天文學推廣者。
小時候看過人類首次登月，就對太空和天文學非常著迷，自稱「當了一輩子的業餘天文專家，也是一輩子的星空狂熱份子」。
將近30年來，他針對天文學和太空方面寫書、編書，至今已累積十多本給兒童讀者的天文學相關童書。不僅在報章雜誌和網誌社群上刊登專欄文章、在BBC等電臺開設廣播節目說著有關星空的故事，艾特金森也經常到學校和孩子一起分享他對星空的知識與探索，是位將孩子的視野擴大到無窮宇宙的天文教育者。
而在晴朗的夜晚，你還會發現他和他最愛的貓咪，一起凝望著繁星。
繪者
布蘭登．吉爾尼 Brendan Kearny
來自英格蘭西南部海岸的童書繪者及插畫家。吉爾尼在學生時期主修建築，但當時他就知道自己並不喜歡用直尺畫圖。他也發現以畫插畫為職業，是個既合法又好玩的選項，於是盡可能以最快的速度把自己的專業從建築換成了插畫。如今他完成繪畫方面的學位，專心的繪製著童書和插畫作品。
譯者
王心瑩
清華大學生命科學研究所畢。夜行性鴟鴞科動物，出沒於黑暗的電影院與山林田野間。偏食富含科學知識與文化厚度的書本。
小時候超喜歡天文學，唯一志向就是天文學家！但後來知道天文學要念物理，只好轉向成為「翻譯」天文學的厲害譯者！
譯作領域從科普童書乃至青少年魔幻小說皆有涉略，譯有《歡迎光臨博物館：動物博物館》、《歡迎光臨博物館：植物博物館》、《吞下宇宙的男孩》、《演化：生命的故事》、《波西傑克森》系列數本、《阿斯嘉末日》系列、《魔法校車：科學博覽會》等數十部。
史都華．艾特金森 Stuart Atkinson
英國科普書籍和科幻小說作家兼天文學推廣者。
小時候看過人類首次登月，就對太空和天文學非常著迷，自稱「當了一輩子的業餘天文專家，也是一輩子的星空狂熱份子」。
將近30年來，他針對天文學和太空方面寫書、編書，至今已累積十多本給兒童讀者的天文學相關童書。不僅在報章雜誌和網誌社群上刊登專欄文章、在BBC等電臺開設廣播節目說著有關星空的故事，艾特金森也經常到學校和孩子一起分享他對星空的知識與探索，是位將孩子的視野擴大到無窮宇宙的天文教育者。
而在晴朗的夜晚，你還會發現他和他最愛的貓咪，一起凝望著繁星。
繪者
布蘭登．吉爾尼 Brendan Kearny
來自英格蘭西南部海岸的童書繪者及插畫家。吉爾尼在學生時期主修建築，但當時他就知道自己並不喜歡用直尺畫圖。他也發現以畫插畫為職業，是個既合法又好玩的選項，於是盡可能以最快的速度把自己的專業從建築換成了插畫。如今他完成繪畫方面的學位，專心的繪製著童書和插畫作品。
譯者
王心瑩
清華大學生命科學研究所畢。夜行性鴟鴞科動物，出沒於黑暗的電影院與山林田野間。偏食富含科學知識與文化厚度的書本。
小時候超喜歡天文學，唯一志向就是天文學家！但後來知道天文學要念物理，只好轉向成為「翻譯」天文學的厲害譯者！
譯作領域從科普童書乃至青少年魔幻小說皆有涉略，譯有《歡迎光臨博物館：動物博物館》、《歡迎光臨博物館：植物博物館》、《吞下宇宙的男孩》、《演化：生命的故事》、《波西傑克森》系列數本、《阿斯嘉末日》系列、《魔法校車：科學博覽會》等數十部。
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4.3 ★★★★★
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Product Reviews
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry.
The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff!
If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper.
As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture.
So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money.
The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence.
There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions.
The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work.
They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively.
There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning.
I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected.
The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading.
If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026
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