Book Image

Keras 2.x Projects

By : Giuseppe Ciaburro
Book Image

Keras 2.x Projects

By: Giuseppe Ciaburro

Overview of this book

Keras 2.x Projects explains how to leverage the power of Keras to build and train state-of-the-art deep learning models through a series of practical projects that look at a range of real-world application areas. To begin with, you will quickly set up a deep learning environment by installing the Keras library. Through each of the projects, you will explore and learn the advanced concepts of deep learning and will learn how to compute and run your deep learning models using the advanced offerings of Keras. You will train fully-connected multilayer networks, convolutional neural networks, recurrent neural networks, autoencoders and generative adversarial networks using real-world training datasets. The projects you will undertake are all based on real-world scenarios of all complexity levels, covering topics such as language recognition, stock volatility, energy consumption prediction, faster object classification for self-driving vehicles, and more. By the end of this book, you will be well versed with deep learning and its implementation with Keras. You will have all the knowledge you need to train your own deep learning models to solve different kinds of problems.
Table of Contents (13 chapters)

Differentiable neural computer

Differentiable neural computer (DNC) refers to a new architecture of computers equipped with artificial intelligence that can access the memory and process it to answer new questions. This machine is therefore able to learn from its memory. This architecture of calculators was presented by its authors (the Google DeepMind team) in 2016 through the following publication: Graves, A., Wayne, G., Reynolds, M., Harley, T., Danihelka, I., Grabska-Barwińska, A., Colmenarejo, SG, Grefenstette, E., Ramalho, T., Agapiou, J., and Badia, AP, 2016. Hybrid computing using a neural network with dynamic external memory, Nature, 538 (7626), p.471.

When we, as humans, recall something to our minds from our memories, we take as input all of our memories and the context in which we are, and we return a new interpretation of the memory. Our process of remembering...