SKU: 283517163

Torstraße 94

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Description

Torstraße 94Die Torstrae verbindet die Friedrichstrae im Westen mit der Prenzlauer Allee im Osten. Wie in kaum einer anderen Strae ist hier noch die brchige Geschichte Berlins greifbar. Am Beispiel des Hauses Nr. 94 geht Andreas Ulrich den Spuren der Vergangenheit nach: Ob Agentin oder Konditor, ob Bankruber oder Nherin, ob Super Model oder Parteisekretr das Haus und seine Bewohner haben viel erlebt: Dramatisches und Komisches, Absurdes und Unglaubliches. EAN:

Die Torstraße verbindet die Friedrichstraße im Westen mit der Prenzlauer Allee im Osten. Wie in kaum einer anderen Straße ist hier noch die brüchige Geschichte Berlins greifbar. Am Beispiel des Hauses Nr. 94 geht Andreas Ulrich den Spuren der Vergangenheit nach: Ob Agentin oder Konditor, ob Bankräuber oder Näherin, ob Super-Model oder Parteisekretär - das Haus und seine Bewohner haben viel erlebt: Dramatisches und Komisches, Absurdes und Unglaubliches.

EAN: 9783814802770
Farbverschnitt: Generell werden die Bücher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen.
Erscheinungsjahr: 19.04.2023
Produktform: Leinen, Gebunden
Autoren: Ulrich, Andreas
Seitenzahl/Blattzahl: 160
Abbildungen: 39 Abbildungen
Keyword: Berlin; Berlingeschichte; Friedrichstraße; Ost-West; Prenzlauer Allee
Fachschema: Berlin / Politik, Zeitgeschichte~Berlin / Stadtteile~Prenzlauer Berg (Berlin)~Berlin / Geschichte (bis 1945)
Fachkategorie: Nostalgie: Sachbuch~Geschichte, Heimatkunde
Region: Berlin
Thema: Entdecken
Text Sprache: ger
Verlag: Edition Q, BeBra Verlag GmbH
Länge: 191 mm
Breite: 127 mm
Höhe: 19 mm
Gewicht: 248 gr
Genre: Geisteswissenschaften/Kunst/Musik
Herkunftsland: DEUTSCHLAND (DE)
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SKU: 283517163

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R. Cote
Houston, 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
Cuba, 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
Dallas, 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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3rd Act
Houston, US
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024

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