Abstract
This chapter covers the basics of TensorFlow, the deep learning framework. Deep learning does a wonderful job in pattern recognition, especially in the context of images, sound, speech, language, and time-series data. With the help of deep learning, you can classify, predict, cluster, and extract features. Fortunately, in November 2015, Google released TensorFlow, which has been used in most of Google’s products such as Google Search, spam detection, speech recognition, Google Assistant, Google Now, and Google Photos. Explaining the basic components of TensorFlow is the aim of this chapter.
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© 2018 Navin Kumar Manaswi
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Manaswi, N.K. (2018). Basics of TensorFlow. In: Deep Learning with Applications Using Python . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3516-4_1
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DOI: https://doi.org/10.1007/978-1-4842-3516-4_1
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3515-7
Online ISBN: 978-1-4842-3516-4
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