Neural Network algorithms are showing promising results for different complex problems. Here we discuss how these algorithms are used in image compression.
Every time DeepMind publishes a new paper, there is frenzied media coverage around it. We examine what is and is not real in recent work described as “DeepMind Neural Network Can Make Sense of Objects Around It”.
We explain another novel method for much faster training of Deep Learning models by freezing the intermediate layers, and show that it has little or no effect on accuracy.
GANs (Generative Adversarial Networks), a type of Deep Learning networks, have been very successful in creating non-procedural content. This work explores the possibility of machine generated creative content.
Harshvardhan Gupta blogs at Hacker Noon and tweets at @harvey_slash
DeepMind Relational Reasoning Networks Demystified
