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Acer TravelMate B3 11 B311-33 TMB311-33-C4SC 11.6" Notebook - WXGA - Intel N100 - 8 GB - 128 GB SSD - English Keyboard - BlackIntroducing the Acer TravelMate B3 11, a compact, no nonsense business notebook built for professionals, students, and on the go users who value portability without sacrificing reliability. Measuring a convenient 11. 6 inches, this WXGA machine blends a sturdy, travel ready design with practical performance to handle everyday tasks with ease. Powered by an energy efficient Intel N100 processor, backed by 8 GB of RAM and a 128 GB SSD, it delivers quick
Introducing the Acer TravelMate B3 11, a compact, no-nonsense business notebook built for professionals, students, and on-the-go users who value portability without sacrificing reliability. Measuring a convenient 11.6 inches, this WXGA machine blends a sturdy, travel-ready design with practical performance to handle everyday tasks with ease. Powered by an energy-efficient Intel N100 processor, backed by 8 GB of RAM and a 128 GB SSD, it delivers quick boot times, responsive multitasking, and ample space for essential documents and applications. The English-keyboard layout and Windows 11 Pro make collaboration and security straightforward, whether you’re drafting reports, joining video meetings, or studying from anywhere. The matte ComfyView IPS display minimizes glare for comfortable viewing in a variety of lighting conditions, while the sleek black chassis presents a professional look suitable for meetings and classrooms alike. With up to 9.5 hours of battery life, the TravelMate B3 11 is designed to keep you productive from commute to conference room, without frequent recharges.
- Ultra-portable design: 11.6" footprint with a durable chassis that travels easily in bags, backpacks, or briefcases for business and education on the move.
- Efficient performance: Intel N100 processor paired with 8 GB RAM and 128 GB SSD delivers fast boot times, smooth multitasking, and reliable everyday performance for email, documents, web browsing, and light productivity apps.
- Display you can rely on: WXGA 1366x768 screen with In-plane Switching (IPS) for wide viewing angles, plus ComfyView matte coating to reduce glare during long work sessions.
- Business-ready software: Windows 11 Pro brings built-in security, business management features, and compatibility with common enterprise tools and collaboration apps.
- All-day battery life: Up to 9.5 hours of usage on a single charge, supporting full workdays and extended study sessions away from outlets.
Technical Details of Acer TravelMate B3 11 B311-33 TMB311-33-C4SC 11.6" Notebook
- Get this information from the "specifications" section of the product from ec.synnex.com using product "UPC" or "SKU" as reference
- Processor: Intel N100
- Memory: 8 GB
- Storage: 128 GB SSD
- Display: 11.6" WXGA (1366 x 768), IPS, ComfyView Matte
- Graphics: Intel UHD Graphics
- Operating System: Windows 11 Pro
- Keyboard: English
- Color: Black
- Battery Life: Up to 9.5 hours
- Camera: Front-facing webcam
- Display Technology: IPS with matte coating for reduced glare
How to install Acer TravelMate B3 11 B311-33 TMB311-33-C4SC 11.6" Notebook
- Unpack the notebook and ensure you have the charger and any included accessories.
- Connect the charger and allow the battery to reach a healthy charge before first use.
- Press the power button to boot up, then follow the on-screen prompts to set up Windows 11 Pro with your Microsoft account or a local account.
- Connect to a trusted Wi-Fi network, check for updates, and install the latest Windows updates and drivers to ensure optimal performance and security.
- Sign in to your preferred apps and services, adjust display and power settings for your environment, and configure security features such as Windows Hello and disk encryption as needed.
Frequently asked questions
-
Q: Does this model come with Windows 11 Pro?
A: Yes, the Acer TravelMate B3 11 ships with Windows 11 Pro for business-ready features and security. -
Q: What is the display size and type?
A: It features an 11.6" WXGA display with IPS technology and a matte ComfyView coating to reduce glare. -
Q: How much memory and storage does it have?
A: It includes 8 GB of RAM and 128 GB SSD for responsive performance and quick file access. -
Q: What about battery life?
A: The TravelMate B3 11 offers up to 9.5 hours of typical usage on a single charge, depending on workload and settings. -
Q: Is the keyboard English?
A: Yes, the notebook comes with an English keyboard layout suitable for international use.
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4.2 ★★★★★
Based on 8 reviews
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Product Reviews
★★★★★ 3
Cheap
Color: Carbonized Brown
Cheaply made
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 18, 2026
★★★★★ 5
Very well built
Color: White
Yes it was really nice my granddaughter love's the jewelery box
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Reviewed in the United States on November 18, 2025
★★★★★ 4
Lots of storage space, great mirrors, has paint scent
Color: White
You can store a lot in this! There are a lot of good things to say about this. It's cute, has tons of mirror space and room to store jewelry, seems pretty sturdy as far as the wood parts go, and could also be used as Barbie furniture for a girl with a little imagination--a perfect armoire! It's the perfect height for a Barbie doll.
So, there is space for non-dangly earrings to be placed in holes, a section under that for necklaces or bigger earrings, four small spots on top for necklaces or other chains, a larger section there, five drawers, four long necklace spots to hang them with catch sections underneath, and a space for a lot of rings. There are also eight hangers for short chains or earrings.
Quality wise, it is decent, but maybe not fantastic. Most of the wood aspects seem strong and built well, except the part that stores rings comes out completely and can be a tiny bit of a challenge to put back in a way that it fits right. The cardboard inserts are a little flimsy. I think if a child used this and pulled down on one of the necklace holders, it might not spring back into place, and then would be useless after that. The cardboard insert on the top for the stud earrings also seems like it will get misshapen pretty easily.
The biggest negative, and is one I am not sure I can get beyond, but time will tell, is the strong paint odor of it. It smells like a bedroom smells immediately after it gets painted--that kind of smell that tells you perhaps you should sleep somewhere else for a night. That smell fades, though. I hope this smell also fades because it seems too strong to give to a child, and this is advertised as for a woman or girl (which I assume is a child.)
So, size wise and usage is generally good for this. If the paint smell fades, I will be fully satisfied with it.
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Reviewed in the United States on October 18, 2025
★★★★★ 5
Holds a decent amount of jewelry!
Color: Carbonized Brown, Color: Carbonized Brown
I was quite impressed with this little jewelry box. Although it is on the smaller side, it utilizes every bit of the storage space available really well. I’d ultimately love to get a bigger armoire- as it is, this jewelry box contains what I wear most often, but I have a larger collection than this particular jewelry box can hold- my plan is to find a larger jewelry armoire that resembles what my mother had because I loved that one and then passed this one down to my daughter who loves it.
For its size, it does absolutely hold a lot. I definitely underestimated how much it would hold. I love that there are drawers and well. I would love to see the ring area hinged so that I don’t have to reposition it when I’m done grabbing my rings, I think it’s a really cool, unique way to approach that particular area. I love that every little bit at this jewelry box is designed to have utility. I hate wasting space and time and I love good organization so it’s been really nice being able to pack as much as I can in there. The top opens up to space for earrings and other miscellaneous items. There are both open and more structured components. And the space for bracelets rotates, which is really nice- I didn’t realize that it rotated and I was a little bit worried that I was gonna constantly knock things down while I was reaching through or something. There is lots of room inside both doors for necklaces, and it fits a lot more than I thought it would.
The wood stain is a really pretty kind of ashy natural stain- the sort of grey tint is really nice and it’s gorgeous. I’m not a huge fan of mirrors as far as the front goes, but I do have an artist in house who is really good at coming up with stuff for this, just a little ways to put art in your every day, so I’ll probably have her paint over. The jewelry box also doesn’t take much space up at all. While I am looking for something with a little bit larger footprint, I don’t necessarily want to waste a bunch of real estate in the meantime so I’m really pleased with how compact it is.
This is a great little jewelry box - as I mentioned it doesn’t house all of my jewelry, but that’s because my collection is mostly heirloom and I don’t want to take it out from where it is right now. If it were larger, I would probably do so but for now it just houses my everyday items and a little bit extra. I think it’s great and I’m super happy with it!
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Reviewed in the United States on March 17, 2026
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier.
Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas.
However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon).
As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful.
Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics).
I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book.
In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
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Reviewed in the United States on April 18, 2017