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Keras Tips, Tricks, And Techniques

Keras Tips, Tricks, And Techniques

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.

Overview

Description
Tips and tricks to improve your skills with Keras

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.

All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/Keras-Tips-Tricks-and-Techniques

About the Author

John de Havilland has worked in the field of software engineering for over a decade, working on a large scale, distributed systems across a variety of industries. He has spent the last several years focused on Big Data and Artificial Intelligence, helping customers build and implement advanced data and AI platforms in the cloud. He currently works as a Customer Success Director at Microsoft leading a team of cloud solution architects, advising and guiding top clients on advanced cloud-based solutions to solve their most challenging business needs.
Connect on https://www.linkedin.com/in/john-de-havilland-5184185/

Course Information

This course is for aspiring data science professionals and machine learning practitioners who are familiar with basic Python programming and Keras

Run deep learning models with Keras and a TensorFlow backend
Use image augmentation to improve training accuracy for your Keras models
Learn how to generate articles with Recurrent Neural Networks in Keras
Use Keras for Natural Language Processing
Deploy Keras models into production
Use the Keras Functional API for deep learning

This course is for aspiring data science professionals and machine learning practitioners.

• Lifetime Access to Each Course
• Certificate on Completion of Course
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Course Specifications

IT and Computing courses are available to study on our learning platform. 

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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