Abstract
In this chapter, we will describe a very important topic in deep learning fundamentals, the basic functions that deep learning is built on. Then we will try to build layers from these functions and combine these layers together to get a more complex model that will help us solve more complex problems, and all that will be described by TensorFlow examples.
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© 2020 Hisham El-Amir and Mahmoud Hamdy
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El-Amir, H., Hamdy, M. (2020). Deep Learning Fundamentals. In: Deep Learning Pipeline. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5349-6_9
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DOI: https://doi.org/10.1007/978-1-4842-5349-6_9
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5348-9
Online ISBN: 978-1-4842-5349-6
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