Este cross platform Linux, Mac, Windows, open source cu sursele pe github: http://www.simbrain.net/
eu pe ubuntu am dezarhivat si am rulat cu sudo java -jar Simbrain.jar
Un filmulet de prezentare:
Este cross platform Linux, Mac, Windows, open source cu sursele pe github: http://www.simbrain.net/
eu pe ubuntu am dezarhivat si am rulat cu sudo java -jar Simbrain.jar
Un filmulet de prezentare:
O reprezentare grafica interesanta a unei retele neuronale in browser a caror parametri se pot configura
https://nxxcxx.github.io/Neural-Network/
Machine Learning at Google with Neural Networks:
Machine Learning Using C# Succintly
In Machine Learning Using C# Succinctly, you’ll learn several different approaches to applying machine learning to data analysis and prediction problems. Author James McCaffrey demonstrates different clustering and classification techniques, and explains the many decisions that must be made during development that determine how effective these techniques can be. McCaffrey provides thorough examples of applying k-means clustering to group strictly numerical data, calculating category utility to cluster both qualitative and quantitative information, and even using neural network classification to predict the output of previously unseen data.
Table of Contents
- k-Means Clustering
Categorical Data Clustering
Logistic Regression Classification
Naïve Bayes Classification
Neural Network Classification