SKU: 22872306913

Tox Taco de pared con gancho Pirat Will

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Description

Tox Taco de pared con gancho Pirat WillApto tanto para aficionados al bricolaje como para profesionales. Ofrece fijaciones fiables en casi todos los materiales de construccin, como placas de yeso, hormign, hormign, ladrillo macizo, ladrillo silicocalcreo y otros materiales. El tapn de gancho se puede utilizar con una alcayata, un tornillo tipo gancho o con un tornillo tipo argolla con revestimiento blanco para un mejor acabado para, por ejemplo, sujetar armarios de bao, marcos de cuadros o

Apto tanto para aficionados al bricolaje como para profesionales. Ofrece fijaciones fiables en casi todos los materiales de construcción, como placas de yeso, hormigón, hormigón, ladrillo macizo, ladrillo silicocalcáreo y otros materiales. El tapón de gancho se puede utilizar con una alcayata, un tornillo tipo gancho o con un tornillo tipo argolla con revestimiento blanco para un mejor acabado para, por ejemplo, sujetar armarios de baño, marcos de cuadros o relojes de pared, para colocar lámparas o cestas, o para sujetar cadenas de barrera, tendederos o cuerdas.

El taco multiusos TRIKA ofrece una alta capacidad de carga, estabilidad y es muy fácil de instalar, lo que ahorra tiempo. Gracias a su cuerpo 3 divisiones y a su plástico especial, el taco multiusos TRIKA se anuda o se extiende de forma fiable según las necesidades, lo que lo hace adecuado para una amplia variedad de proyectos de fijación.

La tapa del taco permite una fácil instalación previa a la inserción, ya que protege la superficie y también evita que se deslice más profundamente en el orificio de perforación. Esto permite una instalación cómoda y rápida.

Los bloqueos de rotación en el cuello del anclaje y el cuerpo del anclaje también evitan la rotación no deseada en el orificio de perforación.

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SKU: 22872306913

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MrGee
Houston, 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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R. Cote
West Palm Beach, 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
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Battle Creek, US
★★★★★ 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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Thomas
San Leandro, 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
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La Monte HP Yarroll
Carnegie, 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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