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Description
ADATA SD810 2TB External SSD - USB 3.2 Gen2 x2, 2000MB/s R/WThe ADATA SD810 2TB External SSD delivers blazing fast transfer speeds and rugged durability. Featuring USB 3. 2 Gen2 x2, this compact and lightweight SSD is perfect for on the go professionals and content creators needing reliable and high performance storage. Key Features Blazing Fast Speeds: Up to 2000MB s read write speeds via USB 3. 2 Gen2 x2 High Capacity: 2TB storage for large files and demanding applications Rugged Durability: IP68 water dust
The ADATA SD810 2TB External SSD delivers blazing-fast transfer speeds and rugged durability. Featuring USB 3.2 Gen2 x2, this compact and lightweight SSD is perfect for on-the-go professionals and content creators needing reliable and high-performance storage.
Key Features
- Blazing Fast Speeds: Up to 2000MB/s read/write speeds via USB 3.2 Gen2 x2
- High Capacity: 2TB storage for large files and demanding applications
- Rugged Durability: IP68 water/dust resistance and MIL-STD-810G drop protection
- Compact & Lightweight: Easy to carry and store
- Premium Design: Aluminum alloy construction for style and durability
- Multi-OS Compatible: Works seamlessly with Windows, macOS, and Android
Specifications
| Product Type | External SSD |
| Brand | ADATA |
| Model | SD810 |
| SKU | EH-A2000SD810 |
| Capacity | 2TB |
| Interface | USB 3.2 Gen2 x2 |
| Read Speed | Up to 2000MB/s |
| Write Speed | Up to 2000MB/s |
| Durability | IP68 Water/Dust Resistant, MIL-STD-810G Drop Protection |
| Material | Aluminum Alloy |
| Compatibility | Multi-OS Compatible |
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4.2 ★★★★★
Based on 14 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.
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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
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Reviewed in the United States on April 5, 2025
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on April 13, 2025