SKU: 5340703631

Die Insel

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Description

Die InselRoland, ein Obdachloser, der nach einem Handgemenge seinen Job als Weihnachtsmann verloren hat, trifft auf den blinden Rodolphe, einen Zyniker, der sich am Schicksal rcht, indem er anderen das Leben vergllt. Insbesondere leidet seine Schwester Jeanne darunter, die gerade durch Zufall ihre ehemalige Liebe Olivier wiedergefunden hat, mit dem sie ihre Jugend auf deren Insel verbrachte. Alle vier treffen am Abend in Jeannes und Rodolphes Wohnung

Roland, ein Obdachloser, der nach einem Handgemenge seinen Job als Weihnachtsmann verloren hat, trifft auf den blinden Rodolphe, einen Zyniker, der sich am Schicksal rächt, indem er anderen das Leben vergällt. Insbesondere leidet seine Schwester Jeanne darunter, die gerade durch Zufall ihre ehemalige Liebe Olivier wiedergefunden hat, mit dem sie ihre Jugend auf deren Insel verbrachte. Alle vier treffen am Abend in Jeannes und Rodolphes Wohnung aufeinander, wobei der blinde Bruder in Olivier sofort den Jugendfreund vermutet, mit dem seine Schwester ein düsteres Geheimnis teilt. Am Morgen nach einem gemeinsamen Abendessen, bei dem der Alkohol in Strömen floss, finden sie im Badezimmer Rolands Leiche. Die drei ungleichen Verbliebenen haben nun eines gemeinsam: Niemand weiß, wer der Mörder ist, aber die Leiche muss weg.

EAN: 9783991200604
Farbverschnitt: Generell werden die Bücher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen.
Erscheinungsjahr: 17.02.2025
Autoren: Garnier, Pascal
Übersetzung: Mayer, Felix
Seitenzahl/Blattzahl: 168
Keyword: Mord; Noir; Weihnachten
Fachschema: Frankreich / Roman, Erzählung, Humor
Fachkategorie: Belletristik: allgemein und literarisch~Kriminalromane und Mystery
Länge: 195 mm
Breite: 122 mm
Höhe: 17 mm
Gewicht: 254 gr
Produktform: Gebunden
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SKU: 5340703631

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MrGee
Battle Creek, 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
Waukegan, 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
Chelsea, 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
Lowell, 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
Charlottesville, 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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