The Deep Learning universe grows every day. The whole field is somewhat in the phase of “crossing the chasm” and entering “pragmatists” phase. Simply put, people use deep learning models for practical problems and with that, they come up with different architectures...

Generative Adversarial Networks (GAN) has changed the way we observe deep learning field. Up until that point, generative algorithms were a one-side ally, and the engineers were focused more on regression and classification tasks. Different approaches and applications...

When they were first presented back in 2014., Generative Adversarial Networks (GAN) took the world of Deep Learning by storm. Their two folded architecture opened up the path to many creative solutions and combinations. Even Yann LeCun concluded that this is “the most...

Generative Adversarial Networks (GAN) shook up the deep learning world. When they first appeared in 2014, they proposed a new and fresh approach to modeling and gave a possibility for new neural network architectures to emerge. Since standard GAN architecture is...

The code that accompanies this article can be downloaded here. In the previous article, we started exploring the vast universe of generative algorithms. We started with a gentle introduction to Generative Adversarial Networks or GANs. This major idea, first...

Deep Learning zoo is getting bigger by the day. This is probably due to the fact that we are “crossing the chasm” with this technology and that we are entering “early majority” phase. Simply put, people find more and more ways to use deep...

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