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Solution to the assignment of Advanced Machine Learning course at ELTE

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Super Resolution

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In this assignment you have to build a model for super-resolution using tf.keras. You have to train a CNN to upscale small image patches, then use the trained model to upscale full images. To implement such kind of model, you should take a look at the following classes and methods: Sequential model, Functional API, Conv2D, cv2.cvtColor (BGR2YCrCb, YCrCb2RGB, YCrCb2BGR).

You can use only these 3rd party packages: cv2, pandas, keras, matplotlib, numpy, sklearn, skimage, tensorflow.

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Solution to the assignment of Advanced Machine Learning course at ELTE

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