O'Reilly logo

Deep Learning with TensorFlow - Second Edition by Md. Rezaul Karim, Giancarlo Zaccone

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 3. Feed-Forward Neural Networks with TensorFlow

ANNs are at the very core of DL. They are versatile, powerful, and scalable, making them ideal for tackling large and highly complex ML tasks. We can classify billions of images, power speech recognition services, and even recommend that hundreds of millions of users watch the best videos, by stacking multiple ANNs together. These multiple stacked ANNs are called Deep Neural Networks (DNNs). Using DNNs, we can build very robust and accurate models for predictive analytics.

The architectures of DNNs can be very different: they are often organized on different layers. The first layer receives the input signals and the last layer produces the output signals. Usually, these networks are identified ...

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