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Description
Ratel 1/2" met Vergrendeling en Flex Head - SXL.171PB2 in 1 ratel met uitschuifbare handgreep. Standaard gebruik en gemakkelijk op te bergen in gesloten positie. Meer koppel, minder inspanning en maximale toegankelijkheid. Totale lengte van 304 tot 437 mm. 8 verstelposities beveiligd met stop. Kop 180 scharnierend en geremd: houdt steeds de positie. Zeer lange levensduur ongeacht de werkomstandigheden. Onderhoudsvrij. Ongevoelig voor industrieel stof. Mechanisme met 72 tanden voor herstel van 5 .
- 2 in 1 ratel met uitschuifbare handgreep.
- Standaard gebruik en gemakkelijk op te bergen in gesloten positie.
- Meer koppel, minder inspanning en maximale toegankelijkheid.
- Totale lengte van 304 tot 437 mm.
- 8 verstelposities beveiligd met stop.
- Kop 180 ° scharnierend en geremd: houdt steeds de positie.
- Zeer lange levensduur ongeacht de werkomstandigheden.
- Onderhoudsvrij.
- Ongevoelig voor industrieel stof.
- Mechanisme met 72 tanden voor herstel van 5 °.
- Dopvergrendeling: geen verlies van doppen in uw machines.
- Omkering van de hendel: gemakkelijk, zelfs met handschoenen.
- Draairichting duidelijk aangegeven.
- 'Handpalm' -systeem, waarmee u tijdens het vastdraaien op de ratelkop kunt drukken zonder het risico te lopen dat de draairichting per ongeluk wordt omgedraaid.
- Ultracompacte kop.
- Handgreep van bi-materiaal elastomeer: hoge slijtvastheid en bestand tegen de zwaarste werkplaats-oplosmiddelen zoals SP95, SP98, diesel, aceton, remvloeistof, Skydrol, Jet Oil, kerosine.
- Gat in het handvat: maakt bevestiging mogelijk voor werken op hoogte.
- Uitvoering: gesatineerd chroom.
Technische gegevens
- Diameter (D1): 38,0 mm
- Diameter (D): 37,0 mm
- Gewicht: 830,0 g
- Hoogte (H): 37,0 mm
- Lengte (L1): 437,0 mm
- Lengte (L): 304,0 mm
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- Free Standard Shipping on $100+ Orders to the USA.
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4.6 ★★★★★
Based on 10 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025
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