Jan 21, 2019 | AI, Machine Learning, Python
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...
Jan 14, 2019 | AI, Machine Learning
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...
Jan 7, 2019 | .NET, AI, C#, Machine Learning, Python, Series
The path to learning story of Restricted Boltzmann Machine is bumpy. First, we needed to learn what are Energy-Based Models, the group of machine learning models that Restricted Boltzmann Machine is a part of. Then we need to explore functionalities of vanilla...
Dec 17, 2018 | AI, Machine Learning, Python
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...
Dec 10, 2018 | AI, Machine Learning
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...
