Robust Trainability of Single Neurons

Trainability in Recurrent Neural Networks

Two potential bottlenecks on the expressiveness of recurrent neural networks (RNNs) are their ability to store information about the task in their parameters, and to store information about the input history in their units. We show experimentally that all common RNN architectures achieve nearly the same per-task and per-unit capacity bounds with careful training, for a variety of tasks and stac...

Trainability of young athletes and overtraining.

Exercise adaptations to strength, anaerobic and aerobic training have been extensively studied in adults, however, young people appear to respond differently to such exercise stimulus in comparison to adults. In addition, because overtraining in young athletes has received little attention, this important area is also discussed. Resistance training in children can be safe and effective. It has ...

The trainability of elderly people.

Intelligence Test Ratings and Trainability of Nurses

1. On an average they rated 8 percentile points above the average for high school seniors. 2. All except one came from the upper ninety per cent of high school seniors. Nearly two thirds of the nurses rated above the average for high school seniors. 3. They rated 13 percentile points above the Indiana high school senior girls who reported nursing to be their choice of life work. 4. On an averag...

Trainability: Developing a responsive learning system

In this paper, we describe the lessons we learned in developing AgentBuilder, a commercial system for rapidly creating agents that extract information from web sites. AgentBuilder employs a Programming-by-Example (PBE) paradigm, where users train the system by showing the system examples of web pages and the information to be extracted from these pages. The system uses a sophisticated machine l...