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Description
Replacement New Display B133UAN01.1 13.3 inch WUXGA IPS LED LCD Screen Panel Non-TouchiProGadgets Repair Parts B133UAN01. 1 13. 3 inch a Si TFT LCD Panel 1920x1200 EDP 30pins Size: 13. 3 inches Resolution: 1920 (RGB) 1200 (WUXGA) Aspect Ratio: 16: 10 Pixel Density: 170 PPI Panel Type: a Si TFT LCD, LCM (Liquid Crystal Module) Display Mode: AHVA (Advanced Hyper Viewing Angle), Normally Black, Transmissive Backlight: WLED (White LED), Edge light type, with LED Driver Brightness: 300 cd m (Typical) Contrast Ratio: 800: 1 (Typical)
iProGadgets Repair Parts B133UAN01.1 13.3-inch a-Si TFT-LCD Panel 1920x1200 EDP 30pinsSize: 13.3 inches
Resolution: 1920 (RGB) × 1200 (WUXGA)
Aspect Ratio: 16:10
Pixel Density: 170 PPI
Panel Type: a-Si TFT-LCD, LCM (Liquid Crystal Module)
Display Mode: AHVA (Advanced Hyper-Viewing Angle), Normally Black, Transmissive
Backlight: WLED (White LED), Edge light type, with LED Driver
Brightness: 300 cd/m² (Typical)
Contrast Ratio: 800:1 (Typical)
Response Time: 25 ms (Typical) (Tr+Td)
Color Depth: 16.7M colors (8-bit)
Color Gamut: 100% sRGB coverage (CIE1931 Color Space)
Refresh Rate: 60Hz
Interface: eDP (2 Lanes), eDP1.3, 30 pins Connector
Touch Panel: Without (Non-touch)
Strictly Tested by iProGadgets QC Team
(iProGadgets Focus on All kind of Phone /Tablet/Computer/PC Repair Parts for More than 10 Years and we Only Supply the Prime Quality Parts and Accessories ! )
Notice :
Clean the flex cable with alcohol before installation and confirm that it is well connected.
Do not pull, tear or push on the flex cable, be careful during installation.
Before installing the screen, please remove the battery in advance.
Please tap the screen carefully, because the screen is too fragile to damage.
1.Each parts we already double tested before shipping and good working well.
2.After receiving the parts, please check the appearance and test it first. Do not install it directly. You need to connect the new parts to the motherboard for functional testing first ,if all tested ok then do a professional install.
3.All the repair parts is fragile and easily broken or work unproperly by installation mistakes. If you are not good at replacing the parts , please do it by a professional person or repair shop.
4.We are not responsible for any installation mistakes. Any unprofessional installation or mistake are likely to cause product damage and functional issues.
5.Warranty period: The warranty for the parts is valid until it is installed (pasted) in your device! We will no longer provide warranty for any issues arising after the product is installed.
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4.6 ★★★★★
Based on 18 reviews
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Product Reviews
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material.
At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play.
I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field.
In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
★★★★★ 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
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