ESSER Adapterbaugruppe ADP-PRS-232

Marsoni

M251S

$271.50

Get it in 3 business days with 1 day shipping. Friday, May 29

ESSER Adapterbaugruppe ADP-PRS-232Die Adapterbaugruppe ADP PRS 232 ist ein Zusatzmodul zur galvanisch getrennten Anbindung einer Personenrufanlage an ein FAT 3000. Die Programmierschnittstelle des FAT 3000 (RS 232 Klemme) wird zur Kommunikation mit dem Personenrufsystem verwendet. Technische Daten: Betriebsspannung 8 30 V DC Ruhestrom @ 12 V DC ca. 5 mA Abmessungen B: 100 mm, H: 80 mm, T: 20 mm Zustzliche Informationen: Die Baugruppe ADP PRS 422 kann auch verwendet werden, um an das

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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

Massapequa, 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

Draper, 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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3rd Act

New York, 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