SKU: 39843028121

Grüne Tara - Freie Frau

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Description

Grüne Tara - Freie FrauEin weibliches Bild des Erwachens EAN: 9783942085793 Farbverschnitt: Generell werden die Bcher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen. Erscheinungsjahr: 25. 08. 2022 Produktform: Leinen, Gebunden Autoren: Wetzel, Sylvia Seitenzahl Blattzahl: 437 Keyword: Spiritualitt; Tantra; Leerheit; Frauen und Buddhismus; Sammlung; Einsicht; Zuflucht; Tibetischer Buddhismus; Buddhismus; Vertrauen; Bodhicitta; Mitgefhl;

Ein weibliches Bild des Erwachens

EAN: 9783942085793
Farbverschnitt: Generell werden die Bücher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen.
Erscheinungsjahr: 25.08.2022
Produktform: Leinen, Gebunden
Autoren: Wetzel, Sylvia
Seitenzahl/Blattzahl: 437
Keyword: Spiritualität; Tantra; Leerheit; Frauen und Buddhismus; Sammlung; Einsicht; Zuflucht; Tibetischer Buddhismus; Buddhismus; Vertrauen; Bodhicitta; Mitgefühl; Mahayana; bedingtes Entstehen; vier Wahrheiten; vier unermessliche Haltungen; drei Kayas; Bodhisattva; Mandala; Mantra-Rezitation; Sila; Buddha-Natur; Natur des Geistes; Entsagung; sechs Paramitas; Sadhana; Tara-Praxis; Erwachen; Samsara; drei Daseinsmerkmale; Dharma
Fachschema: Buddhismus / Mahayana-Buddhismus~Mahayana-Buddhismus~Buddhismus~Weltreligionen / Buddhismus~Spiritualität
Fachkategorie: Philosophie: Sachbuch, Ratgeber~Buddhismus: Heilige Texte~Spiritualität und religiöse Erfahrung~Körper und Geist~Ostasiatische und indische Philosophie, Mahayana Buddhismus
Thema: Entdecken
Text Sprache: ger
Verlag: Edition Steinrich, Richard, Ursula
Länge: 192 mm
Breite: 131 mm
Höhe: 35 mm
Gewicht: 564 gr
Genre: Geisteswissenschaften/Kunst/Musik
Herkunftsland: DEUTSCHLAND (DE)
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SKU: 39843028121

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R. Cote
Port Orchard, 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
Bozeman, 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
Houston, 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
Omaha, 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
Louisville, 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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