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Difficult to Distinguish ImagesArchive 2018
1 min

Difficult to Distinguish Images

You may have encountered how neural networks learn to understand images. Using convolutional networks, transfer learning, autoencoders, and other algorithms, it is now possible to achieve remarkable results...

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The Conclusion of the Trilogy on Autoencoders or Genesis 2.0 – Right up to the Creation of the First HumansArchive 2018
2 min

The Conclusion of the Trilogy on Autoencoders or Genesis 2.0 – Right up to the Creation of the First Humans

In the beginning, there was chaos and noise. Epoch One. And the great Generator said: Let there be light! And there was light. And the Discriminator saw the light, that it was good…

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The First Part of the Trilogy on the Use of Autoencoders – Noise ReductionArchive 2018
1 min

The First Part of the Trilogy on the Use of Autoencoders – Noise Reduction

This time focusing on noise reduction. First, I will contaminate the entire dataset with a large amount of colour noise. I will compress this damaged image (to 512 digits) and then decompress it again. The excess noise was…

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