Artificial Intelligence for Humans: Deep learning and neural networks.

By:

Heaton, Jeff

Material type:

TextPublication details: St.Louis : Heaton Research, 2015.Description: xlviii, 323pISBN:

9781505714340

Subject(s):

LOC classification:

Q335

Online resources:

Click here to access online

Summary: 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, regularization, dropout, and visualization. Artificial Intelligence for Humans is a book series meant to teach AI to those without an extensive mathematical background. The reader needs only a knowledge of basic college algebra or computer programming--anything more complicated than that is thoroughly explained. Every chapter also includes a programming example. Examples are provided in Java, C#, and Python.

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Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Books	Ziauddin Faculty of Engineering, Sciences, Technology & Management Library - N On Shelve				Q335 HEA 2015 (Browse shelf(Opens below))					Available			18399

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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, regularization, dropout, and visualization. Artificial Intelligence for Humans is a book series meant to teach AI to those without an extensive mathematical background. The reader needs only a knowledge of basic college algebra or computer programming--anything more complicated than that is thoroughly explained. Every chapter also includes a programming example. Examples are provided in Java, C#, and Python.

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