November 2018
Beginner to intermediate
568 pages
15h 59m
English
Content preview from Data Science, 2nd Edition
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Chapter 10
Deep Learning
Abstract
Deep learning is one of the fastest growing areas of data science. Deep learning refers to a class of algorithms which are based on artificial neural networks optimized to work with unstructured data such as images, voice, videos and text. While the techniques of deep learning date back to the mid-80s, their true potential has been realized only in the last 5 years or so. This chapter covers some of the early history, develops a conceptual framework for introducing deep learning in general. It also describes a practical implementation of deep learning.
Keywords
Deep learning; convolutional neural network; gradient descent; Tensorflow; Keras; recurrent neural network; activation function
To get a deep-learning system ...
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