Neural Networks
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PyBrain is a modular Machine Learning Library for Python. Its goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. PyBrain is short for Py thon- B ased R einforcement Learning, A rtificial I ntelligence and N eural Network Library. In fact, we came up with the name first and later reverse-engineered this quite descriptive "Backronym". How is PyBrain different?
PyBrain
Programming Collective Intelligence
Average Rating: Based on 8 Ratings "Useful book on machine learning, etc." - by Alex Ott on 20-JUL-2011 Reviewer Rating:
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library.
Fast Artificial Neural Network Library
Temporal difference learning - Scholarpedia
Temporal difference (TD) learning is an approach to learning how to predict a quantity that depends on future values of a given signal. The name TD derives from its use of changes, or differences, in predictions over successive time steps to drive the learning process. The prediction at any given time step is updated to bring it closer to the prediction of the same quantity at the next time step. It is a supervised learning process in which the training signal for a prediction is a future prediction.
Heuristic search project