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Category Archives: Classification

A Gentle Introduction to Artificial Neural Networks

Posted by dustinstansbury

The material in this post has been migrated to a post by the same name on my github pages website.

Posted in Classification, Gradient Descent, Machine Learning, Neural Networks, Neuroscience, Regression

Tags: Backpropagation, Classification, Deep Learning, Gradient Descent, Neural Networks, Regression

Derivation: Derivatives for Common Neural Network Activation Functions

Posted by dustinstansbury

The material in this post has been migraged with python implementations to my github pages website.

Posted in Classification, Derivations, Machine Learning, Neural Networks, Regression

Tags: Backpropagation, backpropagation algorithm, Logistic Sigmoid, Neural Networks, Quotient Rule, Tanh Function

Derivation: Error Backpropagation & Gradient Descent for Neural Networks

Posted by dustinstansbury

The material in this post has been migraged with python implementations to my github pages website.

Posted in Algorithms, Classification, Derivations, Gradient Descent, Machine Learning, Neural Networks, Optimization, Regression, Theory

Tags: backprop derivation, backpropagation algorithm, backpropagation derivation, Derivation, Machine Learning, Neural Networks