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Dubbele Fietstas Basil City Mik 28-32 Liter - ZwartOntdek de Dubbele fietstas Basil City MIK 28 32 liter zwart, een slimme en stijlvolle oplossing voor jouw bagage op de fiets. Met een totaal capaciteit van 28 32 liter biedt deze dubbele tas ruim voldoende ruimte voor boodschappen, werkspullen en persoonlijke benodigdheden, zonder in te leveren op comfort of stijl. Dankzij het MIK bevestigingssysteem bevestig je de tas snel en stabiel aan je bagagedrager. De dubbele uitvoering zorgt voor een
Ontdek de Dubbele fietstas Basil City MIK 28-32 liter - zwart, een slimme en stijlvolle oplossing voor jouw bagage op de fiets. Met een totaal capaciteit van 28-32 liter biedt deze dubbele tas ruim voldoende ruimte voor boodschappen, werkspullen en persoonlijke benodigdheden, zonder in te leveren op comfort of stijl. Dankzij het MIK bevestigingssysteem bevestig je de tas snel en stabiel aan je bagagedrager. De dubbele uitvoering zorgt voor een evenwichtige belasting aan beide zijden, wat zorgt voor een betere rijervaring, zelfs tijdens langere ritten. Ruime capaciteit: 28-32 liter totaal, ideaal voor dagelijks gebruik en weekenduitstapjes. Dubbel ontwerp voor gebalanceerde belasting en extra draagruimte. Snelle en stabiele montage met het Basil MIK bevestigingssysteem. Stijlvol en tijdloos zwart ontwerp dat bij elke fiets past. Eenvoudig mee te nemen dankzij een gebruiksvriendelijk ontwerp, zowel op als naast de fiets. Upgrade jouw fietsuitrusting met deze praktische en betrouwbare Basil City MIK dubbele fietstas in zwart en geniet van meer ruimte, gemak en comfort tijdens elke rit.Shipping Notes
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4.5 ★★★★★
Based on 16 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