Deep Learning with Keras 2

Overview

Deep Learning lies at the heart of many leading machine learning and artificial intelligence applications. This course, Deep Learning with Keras, shows you how to use Keras to quickly create powerful deep neural networks.

There has been a revolution in artificial intelligence (AI) and machine learning, and deep learning-based solutions are leading the charge. Implementing these solutions can be tedious, requiring you to write many lines of complex code. Keras is a library that simplifies the creation of these deep learning solutions. With just a few lines of code, you can create a model that might otherwise require hundreds of lines using conventional approaches.

This course will get you up to speed with both the theory and practice of using Keras to implement deep neural networks.

First, you will dive deep into learning how Keras implements various layers of neurons quickly and easily, with each layer defining the specific functionality needed to implement parts of your solution. Next, you will discover how to use Keras’ various methods for interconnecting these layers to form the structure of your deep neural networks. Finally, you will learn how to use Keras to implement several state-of-the-art neural networks, such as the widely used Convolutional and Recurrent Neural Networks, to bring these concepts to life.

By the end of this course, you will gain the skills and experience required to effectively create deep neural networks through a combination of lecture and hands-on coding.

University: Provider: Pluralsight

Categories: Artificial Intelligence Courses, Machine Learning Courses, Deep Learning Courses, Neural Networks Courses, Keras Courses

Syllabus

Taught by

Jerry Kurata

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