SKU: 19628918770
fpv fatshark goggles

fpv fatshark goggles Fatshark Fat Shark Attitude V3 FPV Goggles Video Glasses Headset Suppo

$22.62 $25.13
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Description

fpv fatshark goggles Fatshark Fat Shark Attitude V3 FPV Goggles Video Glasses Headset SuppoDescription: Brand Name: Fatshark Item Name: Attitude V3 Goggles FOV: 32Diagonal IPD Range: 58 72mm (adjustable) Display: VGA 640 X 480 Format: NTSC PAL Auto Selecting Head Tracker: 9DOF 2 axis Receiver Bay: Modular Power: DC in: 7 13V (2S 3S) Power Consumption: 2. 7W Features: Attitude V3 VGA headset with integrated 5. 8GHz receiver and head tracker New optics Supports Interlaced 3D Modular receiver bay Zipper carry case, lens cleaning cloth, Fat

Description:
Brand Name: Fatshark
Item Name: Attitude V3 Goggles
FOV: 32°Diagonal
IPD Range: 58-72mm (adjustable)
Display: VGA 640 X 480
Format: NTSC/PAL Auto Selecting
Head Tracker: 9DOF 2-axis
Receiver Bay: Modular
Power: DC in: 7-13V (2S/3S)
Power Consumption: 2.7W


Features:
Attitude V3 VGA headset with integrated 5.8GHz receiver and head tracker
New optics
Supports Interlaced 3D
Modular receiver bay
Zipper carry case, lens cleaning cloth, Fat Shark stickers
AV cable (for connected to external AV devices viewing/recording)
1 x 5.8GHz CP SpiroNet antenna


Operating Frequencies:
Band 0-0 (FS/IRC) 5740, 5760, 5780, 5800, 5820, 5840, 5860, 5880
Band 0-1 (Boscam E) 5705, 5685, 5665, 5645, 5885, 5905, 5925, 5945
Band 1-0 (Boscam A) 5865, 5845, 5825, 5805, 5785, 5765, 5745, 5725
Band 1-1 (Raceband) 5658, 5695 5732, 5769, 5806, 5843, 5880, 5917


Package Included:
1 x Attitude V3 Headset
1 x 7.4V 1000mAh Li-po Battery
1 x 5.8Ghz 32ch RF Module with RaceBand
1 x SpiroNET Circular Polarized Antenna
1 x Zipper Case

Shipping Notes
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Exchange/Return Notes
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SKU: 19628918770

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Based on 487 reviews
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MrGee
San Leandro, 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.
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Reviewed in the United States on August 5, 2021
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Verified Purchase
R. Cote
Birmingham, 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
New York, 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
Bozeman, 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
L
Verified Purchase
La Monte HP Yarroll
Houston, 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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