November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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1: Overview of TensorFlow and Machine Learning
TensorFlow is a popular library for implementing machine learning-based solutions. It includes a low-level API known as TensorFlow core and many high-level APIs, including two of the most popular ones, known as TensorFlow Estimators and Keras. In this chapter, we will learn about the basics of TensorFlow and build a machine learning model using logistic regression to classify handwritten digits as an example.
We will cover the following topics in this chapter:
- TensorFlow core:
- Tensors in TensorFlow core
- Constants
- Placeholders
- Operations
- Tensors from Python objects
- Variables
- Tensors from library functions
- Computation graphs:
- Lazy loading and execution order
- Graphs on multiple devices
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