Module: Single neuron networks

Learning Outcomes

Single Neuron Networks

• Build and train a neuron on keras/tensorflow using stochastic gradient descent
• Form an initial idea of Stochastic Gradient Descent using the example of Perceptron Learning Algorithm
• Understand how the choice of activation/loss and regularization can replicate well known machine learning algorithsm

Readings

Experiential Learning

Assessments