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Description
SCARP EXONICframe SCARP 29" Premium Carbon 110 UDH M4920 fork RockShox SID SL Ultimate 29" 110 15x110 rear shock RockShox SID Luxe Ultimate FlightAttendant 210x50 derailleur SRAM XX SL Eagle Transmission 12speed shift levers SRAM POD Rocker AXS Controller brake front Trickstuff Piccola C22 2 Piston brake rear Trickstuff Piccola C22 2 Piston brake disc front Trickstuff Dchle UL 6bolt 160 brake disc rear Trickstuff Dchle UL 6bolt 160 wheelset DT XRC1200 Spline 29
| frame | SCARP 29" Premium Carbon 110 UDH/M4920 |
| fork | RockShox SID SL Ultimate 29" 110 15x110 |
| rear-shock | RockShox SID Luxe Ultimate|FlightAttendant 210x50 |
| derailleur | SRAM XX SL Eagle Transmission 12speed |
| shift-levers | SRAM POD Rocker AXS Controller |
| brake-front | Trickstuff Piccola C22 2-Piston |
| brake-rear | Trickstuff Piccola C22 2-Piston |
| brake-disc-front | Trickstuff Dächle UL 6bolt 160 |
| brake-disc-rear | Trickstuff Dächle UL 6bolt 160 |
| wheelset | DT XRC1200 Spline 29 Carbon 6B 110/15TA|622x30TSS TLR / DT XRC1200 Spline 29 Carbon 6B 148/12TA|622x30TSS XD TLR |
| tire-front | Maxxis Rekon Race MaxxSpeed/EXO/TR 61-622 |
| tire-rear | Maxxis Aspen MaxxSpeed/EXO/TR 61-622 |
| handlebar | FSA KFX SIC Carbon 65x780mm |
| headset | FSA ACR drop/in 1.5" internal |
| grips | ESI Chunky silicone |
| saddle | Selle Italia SLR Boost flow Carbon Rails |
| seat-post | RockShox Reverb AXS 30.9 T100 |
| seat-clamp | KTM TEAM Light CL-FJ21 - 34,9mm |
| crankset | SRAM XX SL T-Type Carbon DUB 34T PM |
| bottom-bracket | SRAM DUB pressfit MTB ceramic |
| drive | SRAM XX Eagle SL T-Type 12s |
| sprockets | SRAM XX SL T-Type XS-1299 / 10-52 |
| Geometrie | Klik hier voor de geometrie |
| Frame size | Klik hier voor de juiste maatvoering |
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4.8 ★★★★★
Based on 7 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