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1. www.goodreads.com › book › showPerceptrons: An Introduction to Computational Geometry -...

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   Marvin Minsky, Seymour Papert. 4.12. 52 ratings4 reviews. Perceptrons - the first systematic study of parallelism in computation - has remained a classical work on threshold automata networks for nearly two decades. It marked a historical turn in artificial intelligence, and it is required reading for anyone who wants to understand the ...

2. ieeexplore.ieee.org › book › 8076704Perceptrons: An Introduction to Computational Geometry

   ieeexplore.ieee.org › book › 8076704

   Topics: Computing and Processing ; General Topics for Engineers ISBN Information. Persistent Link: Copy URL

3. link.springer.com › chapter › 10Multi-layer Perceptrons | SpringerLink

   link.springer.com › chapter › 10

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   In this book, we therefore confine ourselves to unipolar sigmoid activation functions. All considerations and derivations of the subsequent sections can easily be transferred to bipolar functions. While sigmoid functions are the classical activation functions for multi-layer perceptrons, more recent developments, which led to what is commonly referred to as deep learning , made other ...

4. books.google.com › books › aboutPerceptrons; an Introduction to Computational Geometry - Google ...

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   Perceptrons; an Introduction to Computational Geometry. Marvin Minsky, Seymour Papert. MIT Press, 1969 - Computers - 258 pages. Bibliographic information. Title: ... About Google Books ...

5. en.wikipedia.org › wiki › PerceptronPerceptron - Wikipedia

   en.wikipedia.org › wiki › Perceptron

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   A second layer of perceptrons, or even linear nodes, are sufficient to solve many otherwise non-separable problems. In 1969, a famous book entitled Perceptrons by Marvin Minsky and Seymour Papert showed that it was impossible for these classes of network to learn an XOR function.

6. www.sciencedirect.com › science › articleA review of “perceptrons: An introduction to ... - ScienceDirect

   www.sciencedirect.com › science › article

   1 de dic. de 1970 · As a result, the title of the book, although generous in intent, is seriously misleading to the naive reader who wants to find out something about the general class of Perceptrons. In summary then, Minsky and Papert use the word perceptron to denote 643/I7/5-7 518 BLOCK a restricted subset of the general class of Perceptrons.

7. www.amazon.com › Perceptrons-MIT-Press-Introduction-Computational › dpPerceptrons, Reissue of the 1988 Expanded Edition with a new...

   www.amazon.com › Perceptrons-MIT-Press-Introduction-Computational › dp

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   22 de sept. de 2017 · In 1969, ten years after the discovery of the perceptron—which showed that a machine could be taught to perform certain tasks using examples—Marvin Minsky and Seymour Papert published Perceptrons, their analysis of the computational capabilities of perceptrons for specific tasks.