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Image Super-Resolution using CNN with Keras in Python

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Image Super-Resolution using CNN with Keras in Python

Welcome to the “Image Super-Resolution using CNN with Keras in Python” course. On this venture, you’ll learn to create a Convolutional Neural Community (CNN) in Keras with a TensorFlow backend from scratch, and you’ll be taught to coach CNNs to boost the standard of photographs considerably. Our neural community will create high-resolution photographs from low-resolution photographs. Please observe that you just don’t want a high-powered workstation to be taught this course. We shall be finishing up the whole venture in the Google Colab surroundings, which is free. You solely want an web connection and a free Gmail account to finish this course. It is a sensible course, we’ll give attention to Python programming, and you’ll perceive each a part of this system very nicely. By the tip of this course, it is possible for you to to construct and practice the deep studying mannequin using your picture dataset. After that, additionally, you will have the ability to use the mannequin to predict high-resolution photographs on new photographs and visualise them. This picture super-resolution course is sensible and immediately relevant to many industries. You may add this venture to your portfolio of initiatives which is important to your following job interview. This course is designed most straightforwardly to utilise your time correctly.

Comfortable studying.

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