SKU: 44205487207

keo hong sam 6 nam 200g

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keo hong sam 6 nam 200gXut x: Hn Quc Khi lng tnh: 200g bch Bo qun: Ni kh ro, thong mt, trnh nh nng trc tip t mt tri Hng dn s dng: Dng trc tip Hn s dng: Xem trn bao b sn phm Ko hng sm 6 nm c hng v thm ngon, du nh, v ngt t nhin hp vi khu v ca nhiu ngi. Gip th gin, sng khoi tinh thn, tng hiu qu lm vic. Lm thm ming, cht oligo c trong ko gip tng cng sc khe, cht xylitol lm chc rng. Sn phm ng gi nh gn, p mt, d dng s dng v bo qun. Thch hp lm qu tng bn b v ngi thn. Lu : Hm lng ng

Xuất xứ: Hàn Quốc

Khối lượng tịnh: 200g/bịch

Bảo quản: Nơi khô ráo, thoáng mát, tránh ánh nắng trực tiếp từ mặt trời

Hướng dẫn sử dụng: Dùng trực tiếp

Hạn sử dụng: Xem trên bao bì sản phẩm

- Kẹo hồng sâm 6 năm có hương vị thơm ngon, dịu nhẹ, vị ngọt tự nhiên hợp với khẩu vị của nhiều người. 

- Giúp thư giãn, sảng khoái tinh thần, tăng hiệu quả làm việc.

-  Làm thơm miệng, chất oligo có trong kẹo giúp tăng cường sức khỏe, chất xylitol làm chắc răng.

- Sản phẩm đóng gói nhỏ gọn, đẹp mắt, dễ dàng sử dụng và bảo quản.

- Thích hợp làm quà tặng bạn bè và người thân.

Lưu ý: Hàm lượng đường trong kẹo hồng sâm không cao, lại có chất làm chắc răng chiếm tới hơn 50% chất làm ngọt nên có ăn nhiều kẹo sâm một chút cũng không gây sâu răng như các loại kẹo khác.

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SKU: 44205487207

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4.7 ★★★★★
Based on 18 reviews
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Verified Purchase
MrGee
Whiting, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
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Verified Purchase
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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Whiting, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
T
Verified Purchase
Thomas
Massapequa, 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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Verified Purchase
La Monte HP Yarroll
Carnegie, 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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