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)

Basics of classification problems

Classifiers identify the class of a new objective, based on knowledge that's been extracted from a series of samples (dataset). Starting from a dataset, a classifier extracts a model, which is then used to classify the new instances. Examples of classifiers are as follows:

  • The texts classifier: This classifier is able to say whether a piece of text is relevant to a pre-established topic, based only on the terms that appear
  • The image classifier: This is a classifier that, given some points of a simple drawing, is able to reconstruct the underlying pattern
  • The medical classifier: This is a classifier that, from a sufficient amount of clinical data, is able to find out whether a patient is suffering from a certain disease, or what the severity of the disease is

Therefore, the classifier is a system with some characteristics that allow you...