O'Reilly logo

Building Machine Learning Projects with TensorFlow by Rodolfo Bonnin

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 5. Simple FeedForward Neural Networks

Neural Networks are really the area of Machine Learning where Tensorflow excels. Many types of architectures and algorithms can be implemented with it, along with the additional advantage of having a symbolic engine incorporated, which will really help in the training of more complex setups.

With this chapter, we are beginning to harness the power of high-performance primitives for solving increasingly complex problems with a high number of supported input variables.

In this chapter, we will cover the following topics:

  • Preliminary concepts of neural networks
  • Neural network projects on non-linear synthetic function regression
  • Projects on predicting car fuel efficiency with nonlinear regression
  • Learning to ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required