Deep learning

Stellan Ohlsson

at 250 WPM

9 hours

The average reader, reading at a speed of 250 WPM, would take 9 hours to read Deep learning.

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18

days at 30 min/day

540

total minutes

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Deep learning

by Stellan Ohlsson

2011

Cambridge University Press

540

9781283341660

Description

"Although the ability to retain, process, and project prior experience onto future situations is indispensable, the human mind also possesses the ability to override experience and adapt to changing circumstances. Cognitive scientist Stellan Ohlsson analyzes three types of deep, non-monotonic cognitive change: creative insight, adaptation of cognitive skills by learning from errors, and conversion from one belief to another, incompatible belief. For each topic, Ohlsson summarizes past research, re-formulates the relevant research questions, and proposes information-processing mechanisms that answer those questions. The three theories are based on the principles of redistribution of activation, specialization of practical knowledge, and re-subsumption of declarative information. Ohlsson develops the implications of those mechanisms by scaling their effects with respect to time, complexity, and social interaction. The book ends with a unified theory of non-monotonic cognitive change that captures the abstract properties that the three types of change share"--

Frequently Asked Questions

How many pages are in Deep learning?

This edition of Deep learning has approximately 540 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Deep learning?

For most readers, Deep learning typically takes between 11h 15m and 7h 30m to complete. This is based on the book's length of approximately 135,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 9h 0m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 18 days • Estimated word count: 135,000 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Deep learning?

The estimated word count for Deep learning is approximately 135,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Deep learning?

Deep learning was written by Stellan Ohlsson.

When was Deep learning published?

The publication date for this specific edition is 2011. The original work may have been published on a different date.