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Description
手信坊 鳳梨酥/鳳凰酥系列 Pineapple Cake(5) 53 2011 ! ( ) : (5) E L B . 45X 5 (10) () 10 () 90 (10) 2011 2011! () 10 () 90
→原味鳳梨酥禮盒(5入)
小資5入無負擔、獨立包裝隨時品嚐、連吃3個也不膩、淪陷推薦給您、濃香不膩口、內餡層次豐富
多纖口感細品嚐。
商品介紹
【榮獲2011年台北鳯梨酥文化節達人賽金牌獎】
外殼酥皮使用進口安佳奶油，調製出獨家比例配方，
濃酥香且不膩口，內餡更是精心研發，
上等鳯梨熬煮出濃郁又多層次的酸甜口感，
吃的出多纖又細緻的果肉。
鳯梨果乾與傳統鳯梨酥內餡所調和出黃金比例配方，
層次豐富，多纖口感，每一口都品嚐的到金牌獎的殊榮保證，經典美味，值得推薦!
規格說明
- ◎屬性類型：奶蛋素
◎保存期限：標示於包裝上(西元 年/月/日)
◎注意事項:
※生產此類食品的廠房也生產麩質、花生、芝麻、大豆及堅果類產品
※此產品內含有麩質的穀類、蛋類、奶類及其製品之過敏原
※開封後，請儘早食用完畢
→鳳凰酥禮盒(5入)
※奶蛋素｜特製配方的香濃外皮，搭配師傅獨家餡料配方、微酸甜鳳梨加入鹹香蛋黃、美味伴隨著家人的笑語歡聲、請您來定格這樣的美好。
商品介紹
特製配方的香濃外皮，搭配師傅獨家餡料配方，現場烘焙，滿室生香，品一口，
綿密細緻的口感，值得您細細品嚐。
規格說明
品名：鳳黃酥 必奶蛋素
原料：鳳梨冬瓜餡（冬瓜、蘿蔔、鳳梨、砂糖、棕櫚油、奶油、食鹽、調味劑（檸檬酸）、香料）、麵粉、棕櫚油、鹹蛋黃、砂糖、椰子油、水、奶油、蛋黃液、奶粉、大豆油、白鳳豆、香料、鹽、乳化劑（脂肪酸甘油酯）、卵磷脂、抗氧化劑（維生素E、
L-抗壞血酸棕櫚酸酯）、B-胡蘿蔔素、檸檬酸.
此產品內含小麥、大豆、雞蛋、奶類製品之過敏原淨重：45公克X 5入
保存期限：標示於包裝上（年/月/日）
保存方法：請置於陰涼乾燥處，避免日光直接照射，常溫保存
原產地：台灣
→原味鳳梨酥禮盒(10入)
※奶蛋素｜特製配方的香濃外皮，搭配台灣經典傳統內餡、現場烘焙，滿室生香，品一口，綿密細緻的口感，值得您細細品嚐。
商品介紹
特製配方的香濃外皮，搭配台灣經典傳統的（冬瓜醬）內餡，現場烘焙，滿室生香，品一口，綿密細緻的口感，值得您細細品嚐。
規格說明
-
內容物名稱 鳳梨醬(鳳梨、冬瓜、麥芽糖、砂糖、棕櫚油、奶油、香料)、麵粉、奶油、砂糖、雞蛋、水、奶粉、鹽 內容量 10入禮盒 原產地(國) 台灣 保存期限 常溫90日，請依禮盒上效期內食用完畢 廠商名稱 手信坊股份有限公司
→土鳳梨酥禮盒(10入)
※奶蛋素｜榮獲2011年台北鳯梨酥文化節達人賽金牌獎、濃香不膩口，內餡層次豐富，多纖口感。
商品介紹
榮獲2011年台北鳯梨酥文化節達人賽金牌獎，外殼酥皮使用進口安佳奶油，調製出獨家比例配方，濃酥香且不膩口，內餡更是精心研發，上等鳯梨熬煮出濃郁又多層次的酸甜口感，吃的出多纖又細緻的果肉。鳯梨果乾與傳統鳯梨酥內餡所調和出黃金比例配方，層次豐富，多纖口感，每一口都品嚐的到金牌獎的殊榮保證，經典美味，值得推薦!
規格說明
-
內容物名稱 鳳梨餡(鳳梨、砂糖、麥芽糖、棕櫚油、鹽)、麵粉、奶油、砂糖、雞蛋、水、全脂奶粉、鹽。 內容量 10入禮盒 原產地(國) 台灣 保存期限 常溫90日，請依禮盒上效期內食用完畢 廠商名稱 手信坊股份有限公司
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4.7 ★★★★★
Based on 28 reviews
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Product Reviews
★★★★★ 4
Funny and scary, but with a bit of reassurance
Format: Kindle
Reassuring and disturbing at the same time, this book exposes the flaws and risks of AI, while pointing out the weaknesses that make it incapable of taking over the world.
The examples of AI foolishness entertain and startle. AI's missteps and errors and the real harm they cause provide a warning that is easier to absorb when leavened with the humor.
So what happens if I end this review with a bit of AI-generated predictive texting? Here goes:
This is a story out of India and I am not sure if I can make it to the wrong email address. Please let me know if you have any questions. I look forward to hearing from you.
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Reviewed in the United States on December 1, 2019
★★★★★ 5
Hilarious and Informative
Format: Kindle
This book was a major hit with me - it had me in hysterics at several points while teaching me a lot about machine learning and neural networks on a deep level.
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Reviewed in the United States on April 5, 2026
★★★★★ 5
An adorable book
Format: Paperback
This is an adorable book. I bought it because I needed to know more about AI, and this exemplar seemed perfect to me. And it was.
I had already read several books on AI, dozens in fact, and let's say this is one of the best. First: the tone (the author is very nice); secondly, the drawings (always adding clarity), and thirdly, the scope (it covers all the main topics, including ethical and technological issues).
The problem with books on AI is that some authors begin to talk on AI in a very effective manner, but then, before you realize, they start pontificating on all the evils that it brings with it, and the perverse people behind the scene trying to kidnap your soul (or your money). Believe me, I tremble every time I read on AI because I know what possibly is going to happen after the first fifty pages. This is not the case. Janelle Shane goes to the point, shows you the magic, and the limits of this pervasive science, without painting the horror movie some others make you watch.
Highly recommended for all those interested in passing a couple of days of good reading on AI topics, learning on them, and enjoying a very entertaining author.
Five brilliant stars.
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Reviewed in the United States on October 13, 2023
★★★★★ 5
A fun, accessible introduction to how AI works...and how it sometimes doesn't!
Format: Hardcover
Still relevant despite recent advances in AI-generated imagery and text, because the new systems still work on the same principles as the ones that were around three years ago. They just have a lot more data and processing power. This also means they have the same limitations and blind spots. What was it trained on? *How* was it trained? (This is the most obvious way human bias can leak into an AI model.) How well is the goal specified? And of course, did the AI actually latch onto relevant details, or did it notice that all the training pictures labeled sheep had green fields and blue skies, and completely ignore the actual sheep?
These are things to keep in mind as we enter the landscape of generative AI tools like ChatGPT: You can train an LLM to write a book review, and it'll give you a great piece of text that *reads* like a book review -- but it's not going to have actually evaluated the book. For that, you'd have to train *another* AI to categorize books as good, bad, interesting, dull, and so on. But even that can only be as good as its training data. (I don't remember whether the classic phrase "garbage in, garbage out" is used anywhere in the book, but it still applies today!)
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Reviewed in the United States on April 1, 2023
★★★★★ 4
If you want a book on the details of AI without math and statistics, this is it
Format: Paperback
I had this book a year or two back and then sold a lot of books as they piled up. After that I read a good number of books on AI. Of those, Ethan Mollick's book Co-Intelligence is best for the user end. But then there was still the issue of how do they do it?
If you want to understand the process how AI works, there are a few books like this. Melanie Mitchell tends to focus on pictures. When you read ANY of these book, you will come to a page where you think "this makes no sense." You get there because the way AI chops up information and stores it in "cells" and then processes in stages (deep learining, hidden layers) is not how we think. They are not brains, though the neural network has some similarity to ours. You will simply need to finish the book. This one or the one you bought. Then read another one, if needed. It will make a lot of sense if you finish the book. Then you just generalize where you are at. I am never going to write Python or get deeply involved in tha manner. I am quite familiar with the free vesrions and I am able to check what summaries I get from AI. I will also keep up with the language part of it. AI does not study grammar the way we do. It looks for patterns in millions of examples.
I have since 2023 gone through most of the 20 dollar range books. This one is the best.
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Reviewed in the United States on April 1, 2026