[PDF.86av] Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks

Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks

[PDF.wt15] Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks

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 | #232305 in Books |  2015-10-28 | Original language:English | PDF # 1 |  9.25 x.85 x7.50l,1.55 | File type: PDF | 374 pages

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||22 of 22 people found the following review helpful.| Useless for deep understanding, not good for beginners either|By Dmitri Kozlov|The book describes few concepts. A beginner would expect to see a bigger picture rather than a seemingly random set of methods or models. A professional would look for detailed explanation of concepts.The book provides neither. Descriptions are shallow, formulas contain errors, pseudo code is often|About the Author|Jeff Heaton, PhD, is a data scientist and indy publisher. Specializing in Python, R, Java and C#, he is an active technology blogger, open source contributor, and author of more than ten books. His areas of expertise include predictive modeling

Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, we will demonstrate the neural networks in a variety of real-world tasks such as image recognition and data science. We examine current neural network technologies, including ReLU activation, stochastic gradient descent, cross-entropy, regularizatio...

You easily download any file type for your gadget.Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks   |  Jeff Heaton.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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