Hands-On Artificial Intelligence with Keras and Python [Video]

Hands-On Artificial Intelligence with Keras and Python [Video]

Sandipan Das

Use Keras to solve advanced industry relevant projects
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Video Description

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

Style and Approach

This course will take a Hands-on approach to teach you the skills required to develop Keras models using Python, relevant interesting industry problems with illustrative examples. This will overcome your challenge in AI from scratch.

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What You Will Learn

  • Develop a deep learning network from scratch with Keras using Python to solve a practical problem of classifying the traffic signs on the road.
  • Introduction to Computer Vision & Deep Learning.
  • Setup and develop an environment with VM or Docker. Ipython and Jupyter notebook.
  • Activation functions, Forward propagation, backward propagation.
  • How to use Tensorflow backend. Hands-on coding with me.
  • Tensorboard and intuitions of filters and hyper-parameters.
  • Deploy and evaluate for other real-world applications. Future work and readings!
  • Neural network style transfer - Image style translation and generation
  • Game AI - Running game agents using Deep Q network

Authors

Video Details

ISBN 139781838557829
Course Length2 hours 31 minutes
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