Deep reinforcement learning leverages the learning capacity of deep neural networks to tackle problems that were too complex for classic RL techniques.

Brain researchers have identified a bridge between the thalamus and the cortex as the key area that is modified during motor learning functions. They found that such learning does much more than ...

This groundbreaking discovery of a meta-learning function in the premotor cortex could pave the way for developing technologies to enhance motor skill acquisition more effectively in sports.

Learn what MaxOut is, how it works as an activation function, and why it’s used in deep learning models. Simple breakdown for beginners! #DeepLearning #MachineLearning #MaxOut ...

No machine learning development is required for an admin to turn on functions, and predictions, such as the next best action for a sales rep, are surfaced in the context of the apps they already use.

Both deep learning and reinforcement learning are machine learning functions, which in turn are part of a wider set of artificial intelligence tools. What makes deep learning and reinforcement ...

By integrating itself with a plethora of tools and functions other services provide, LinkedIn takes advantage of employers’ preference to use a cornucopia of learning platforms by housing them all.