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You're reading from  Mastering Predictive Analytics with scikit-learn and TensorFlow

Product typeBook
Published inSep 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789617740
Edition1st Edition
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Author (1)
Alvaro Fuentes
Alvaro Fuentes
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Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.
Read more about Alvaro Fuentes

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Core concepts in TensorFlow

There are some major concepts that we need to understand before actually using the tensorflow library. The following are the concepts that we will cover in this book:

  • Tensors
  • Computational graphs
  • Sessions
  • Variables
  • Placeholders
  • Constants

Tensors

A tensor is the central unit of data in TensorFlow. A tensor consists of a set of primitive values shaped into an array of any number of dimensions. It is basically a multidimensional array similar to a NumPy array. The number of dimensions defines the rank of a tensor. Let's see some of the following examples:

  • 3: If we have a single number, the tensor will be considered a rank 0 tensor. This can be a scalar with shape[].
  • [2., 2., 1.]: If we have...
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Mastering Predictive Analytics with scikit-learn and TensorFlow
Published in: Sep 2018Publisher: PacktISBN-13: 9781789617740

Author (1)

author image
Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.
Read more about Alvaro Fuentes