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Hands-On Artificial Intelligence with Keras and Python

Video Description

Using AI with Keras for building complex deep learning networks with fewer lines of coding in Python

About This Video

  • Helps to understand the core concepts behind AI and how to apply it to day-to-day problems.
  • Choosing a data set
  • Distribution of the data set between training, testing and validation set
  • How to define your own customized model
  • How to deploy your code on GPU (if your computer has it)
  • Learn how to use the Python library Keras using Tensorflow backend
  • Hyperparameters Optimization in your network architecture which can be tuned for better performance

In Detail

AI will help you solve key challenges in the future in several domains. It is an exciting time to be doing AI with world making its shift towards Industry 2.0 with automation in focus.

This course will help you learn by doing an industry relevant problem in image processing domain, develop and understand automation and AI techniques. You will learn how to harness the power of algorithms by creating apps which intelligently interact with the world around you, addressing common challenges faced in AI ecosystem.

By the end of the course, you will be able to build real-world artificial intelligence applications using Keras and Python.

All the code and supporting files for this course are available on GitHub at: https://github.com/PacktPublishing/Hands-on-Artificial-Intelligence-with-Keras-and-Python

Downloading the example code for this course: You can download the example code files for all Packt video courses you have purchased from your account at http://www.PacktPub.com. If you purchased this course elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.