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Description
Battery Type Digital Noise Reduction Hearing Aid Elderly Sound Amplifier, Complexion Left Ear1. Small size, no burden to wear 2. Multi channel detection of different sounds, restore reality, double noise reduction 3. Promise tuning design, bid farewell to gear design 4. Built in A10 button battery, one battery can be used for 60 hours 5. Made of silicone, high comfort, no whistling 6. Equipped with earplugs of different sizes to suit all types of ears 7. Frequency response range: 300HZ 4500HZ 8. Saturation sound pressure level (MAX): less
1. Small size, no burden to wear
2. Multi-channel detection of different sounds, restore reality, double noise reduction
3. Promise tuning design, bid farewell to gear design
4. Built-in A10 button battery, one battery can be used for 60 hours
5. Made of silicone, high comfort, no whistling
6. Equipped with earplugs of different sizes to suit all types of ears
7. Frequency response range: 300HZ-4500HZ
8. Saturation sound pressure level (MAX): less than or equal to 115+3
9. Equivalent input noise level: less than or equal to 29DB+3DB
10. Dimensions: 1.5 x 1.8 cm
11. Weight: single 1.2 grams
Specification:
| Package Weight |
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4.9 ★★★★★
Based on 6 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025
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