-
The Multilayer Perceptron - Theory and Implementation of the Backpropagation Algorithm
Learning objectives Understand the principles behind the creation of the multilayer perceptron Identify how the multilayer perceptron overcame many of the limitations of previous models Expand understanding of learning via gradient descent methods Develop a basic code implementation of the multilayer perceptron in Python Be aware of the main limitations...
-
The ADALINE - Theory and Implementation of the First Neural Network Trained With Gradient Descent
Learning objectives Understand the principles behind the creation of the ADALINE Identify the similarities and differences between the perceptron and the ADALINE Acquire an intuitive understanding of learning via gradient descent Develop a basic code implementation of the ADALINE in Python Determine what kind of problems can and can’t be...
-
The Perceptron - A Guided Tutorial Through Its History and Implementation In Python
Learning objectives Understand the rationality and principles behind the creation of the perceptron Identify the main elements of the perceptron architecture Gain an intuitive understanding of the mathematics behind the perceptron Develop a basic code implementation of the perceptron Determine what kind of problems can and can’t be solved with...