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The Applied TensorFlow and Keras Workshop

You're reading from   The Applied TensorFlow and Keras Workshop Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800201217
Length 174 pages
Edition 1st Edition
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Authors (2):
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Luis Capelo Luis Capelo
Author Profile Icon Luis Capelo
Luis Capelo
Harveen Singh Chadha Harveen Singh Chadha
Author Profile Icon Harveen Singh Chadha
Harveen Singh Chadha
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Toc

From Data Preparation to Modeling

This section focuses on the implementation aspects of a deep learning system. We will use the Bitcoin data from the Choosing the Right Model Architecture section, and the Keras knowledge from the preceding section, Using Keras as a TensorFlow Interface, to put both of these components together. This section concludes the chapter by building a system that reads data from a disk and feeds it into a model as a single piece of software.

Training a Neural Network

Neural networks can take long periods of time to train. Many factors affect how long that process may take. Among them, three factors are commonly considered the most important:

  • The network's architecture
  • How many layers and neurons the network has
  • How much data there is to be used in the training process

Other factors may also greatly impact how long a network takes to train, but most of the optimization that a neural network can have when addressing a business...

You have been reading a chapter from
The Applied TensorFlow and Keras Workshop
Published in: Jul 2020
Publisher: Packt
ISBN-13: 9781800201217
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