cybex 525at reviews 525AT Arc Trainer – G&G Fitness Equipment
SKU: 66840863018
cybex 525at reviews

cybex 525at reviews 525AT Arc Trainer – G&G Fitness Equipment

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Description

cybex 525at reviews 525AT Arc Trainer – G&G Fitness EquipmentWhether at home or at the gym, the 525AT Arc Trainer from Cybex is a training force to be reckoned with. Built for durability and high quality, commercial level cross training, this machine helps produce fast results and burns more calories than is possible with traditional elliptical machines or even most other cross trainers. With a variety of strengthening and conditioning settings, this machine contains user friendly technology to fully customize

Whether at home or at the gym, the 525AT Arc Trainer from Cybex is a training force to be reckoned with. Built for durability and high-quality, commercial level cross training, this machine helps produce fast results and burns more calories than is possible with traditional elliptical machines or even most other cross trainers. With a variety of strengthening and conditioning settings, this machine contains user-friendly technology to fully customize any workout.

Key features of the Cybex 525AT:

The 525AT Arc Trainer is a high-end commercial cross training workout machine that can be used primarily for weight loss, cardio, and strength training.

  • Display: Easily view your time, strides per minute, calories burned, and heart rate on a graphic 8 by 5 LED screen. 
  • Glide, Stride, and Climb Zones: Choose from 21 different incline levels to workout in Glide, Stride, or Climb. Spending time in each will work on different muscles and help increase your endurance. 
  • Load Dependency: This machine is designed to scale its resistance according to your weight, making sure you get the best training no matter what size you are. 
  • Muscle Targeting: The 525AT’s unique range of incline and resistance settings make it possible for you to target different muscle groups for overall strengthening and conditioning.
  • Reverse Arc Motion: This advanced stride technology makes your legs and feet move in a natural, biomechanically correct pathway, thus preventing injury and stress to the joints.  
  • Workout Selections: Customize your training session by selecting one from Quick Start (Manual mode), three weight loss modes, three cardio, and two strength. Each workout program has 10 levels and controls both the incline and resistance during your session.

The 525AT Arc Trainer with E3 View Embedded Monitor is great for meeting a lot of different strengthening and conditioning standards. Now you can:

  • Burn more up to 16 percent calories than traditional elliptical training machines largely thanks to the Arc Motion technology.
  • Keep track of your heart rate using wireless grips.
  • Match the resistance and incline to your physical capabilities and training needs.
  • Build up your endurance and training in strength, endurance, cardio, power, and weight loss.
  • Work on different muscle groups by alternating between the Glide, Stride, and Climb positions.
  • Save yourself from unnecessary knee and hip joint strain with your legs kept in the proper biomechanical position during your session.

Tim Garbach, Retail Sales Director, recommends the Cybex 525AT Arc Trainer. "I’m getting old, and I’m getting rickety," says Tim. "That’s a dangerous combination for someone looking to burn fat. Think about it. Burning fat requires repetitive motion. The right repetitive motion will get you there safely and you can do it for the long-haul. The wrong repetitive motion gets you hurt, discouraged, and then fat! Getting a dripping sweat on is an absolute must but not at the expense of my joints!  And that is why the Cybex Arc Trainer is by far, one of the safest  pieces of cardio on the market!"

A commercial-quality cross trainer with the patented Arc design that gives fast fitness results. Train for weight loss, strength and power on one machine. The Cybex 525AT Arc Trainer® offers broad incline and resistance ranges to do the work of three fitness machines in one. At the lower incline levels, the “glide” is a cross country skier. In the mid-range levels, the motion is a “stride” (like an elliptical except with proper positioning). At the high levels, it’s the “climb” of a stepper or climber. Research shows that the Cybex Arc Trainer burns more calories than any other cross trainer or elliptical tested.

USER-FRIENDLY FITNESS TECHNOLOGY

Cybex 525 cardio machines make innovative use of QR codes to provide users with easy access to equipment information and workouts via a mobile device. Guests, employees, and residents can select cardio workouts that best meet their fitness goals. The optional high definition 3 Cardio View high definition monitor offers three viewing modes on a 15.6” embedded display.

SPECIFICATIONS

Product Number : 525AT

Incline Levels : 21

Stride Length : 24 (61 cm)

Resistance Range : up to 600 Watts

Drive type : Two-stage drive

Brake : Brushless Eddy current brake

Dimensions
(L x W x H) : 
76" x 30" x 62.5" 
193cm x 76cm x 159cm

Machine Weight : 364 lbs (165 kg)

Maximum User Weight : 400 lbs (181 kg)

Power : AC Powered: 115V, 208-220V, 230V 

Display : Graphic display of workout profile via 8 × 5 LED; Numeric display of time, calories, strides per minute, calories per hour and heart rate including multi-color indication of heart rate range; Lower display shows incline and resistance level

Workouts : Quick Start (Manual mode), three weight loss, three cardio, two strength; Workouts have 10 levels and controls both incline and resistance.

Compliance : ETL listed to UL 1647, FCC Class B, ASTM, EN 957, CE Low Voltage Directive, EMC and RoHS

Convenience Features : Split level display with magazine rack. Centrally located water bottle holder and dual utility trays.

Heart Rate Monitoring : Contact Grips and Wireless

Color : Choice of seven standard frame colors (Black Chrome, Nightstorm Black, Cumulus White, Platinum Sparkle, Arctic White, Eclipse Black, Metaltone Gold), premium and exclusive colors, as well as over 180 custom colors.

Languages : English, French, German, Spanish, Swedish, Japanese, Russian, Danish, Dutch

AV/Ent. : Optional MYE wireless audio receiver
Optional E3 View embedded HD monitor 
Optional iPod/iPhone integration with 30-pin connector. Users can easily charge an iPod or iPhone, listen to music, switch tracks, and control volume.

Connectivity : Made for iPod® Works with iPhone® (optional)

AC Adaptor : N/A

Warranty : Warranty Details-

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SKU: 66840863018

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BlueTeej
West Palm Beach, US
★★★★★ 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
K
Kirsten
Waukegan, US
★★★★★ 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
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0x00000000:00000000
Louisville, US
★★★★★ 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
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Zygerian99
Fort Morgan, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
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Shannon
Natrona Heights, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025

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