Deep Learning & Parameter Tuning with MXnet, H2o Package in R Tutorials & Notes Machine Learning HackerEarth

The seeds were sown back in the 1950s when the first artificial neural network was created. Since then, progress has been rapid, with the structure of the neuron being "re-invented" artificially. Computers and mobiles have now become powerful enough to identify objects from images. Not just images, they can chat with you as well! That's not all--they can drive, make supersonic calculations, and help businesses solve the most complicated problems (more users, revenue, etc). But, what is driving all these inventions? With increasing open source contributions, R language now provides a fantastic interface for building predictive models based on neural networks and deep learning.