- Attoh-Okine, N.O. (1999) Analysis of Learning Rate and Momentum Term in Backpropagation Neural Network Algorithm Trained to Predict Pavement Performance. Advances in Engineering Software, 30, 291-302.
- By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety ...
- Backpropagation Learning Algorithm • Same task as in perceptron – Learn a multi-layer ANN to correctly categorise unseen examples (We’ll concentrate on ANNs with one hidden layer) • Overview of the routine – Fix architecture and sigmoid units within architecture • i.e., number of units in hidden layer; the way the input units represent example; the way the output units categorises ...
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