Explore how Keras can help with complex real-world
Hands-guide to building an end-to-end deep learning solution using Keras.
Tips and tricks to get the most out of using Keras for various machine learning problems
Machine learning and deep learning allow us to interpret data structures and fit that data into models to identify patterns and make predictions. Keras makes this easier with its huge set of libraries that can be easily used for machine learning.
Designed for those with some existing Python and Keras skills and familiarity with machine learning principles, this course will enable you to enrich your skills by covering a number of more advanced applications. In this course, you will get hands-on experience in solving real problems by implementing cutting-edge techniques to significantly boost your Keras skills and, as a consequence, expand your ability to apply Keras to real-world problems. Throughout the course, you will work on real datasets to increase your expertise and keep adding new tools to your Keras toolbox.
By the end of this course, you will learn various tips, tricks, and techniques to upgrade your machine learning and deep learning algorithm knowledge, as well as how to build efficient models with Keras.
By the end of this course, you will have learned various tips, tricks, and techniques to upgrade your machine learning and deep learning algorithm knowledge; you will also be able to build efficient models with Keras.
Table of Contents:
1 Creating Your First AI App with Keras
2 Deep Learning for Images with Keras
3 Using the Keras Functional API
4 Generating Text with Keras
5 NLP with Keras
6 Advancements in Keras
7 How to Deploy Keras Models in Production