Abstract
In this section we will learn the foundations of deep learning and how deep learning actually works. In particular, we will discuss
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How to build, train and apply a fully connected deep neural network.
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Understand the key parameters in a neural network’s architecture.
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Introduction to keras
We will also construct a deep learning algorithm from scratch.
It is not complicated, it is just a lot of it.
Feynman
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© 2019 Springer Nature Singapore Pte Ltd.
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Ghatak, A. (2019). Deep Neural Networks-I. In: Deep Learning with R. Springer, Singapore. https://doi.org/10.1007/978-981-13-5850-0_3
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DOI: https://doi.org/10.1007/978-981-13-5850-0_3
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-13-5850-0
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