Deep Learning: Guidelines for model optimization and tuning

a rough outline

A neural network model is represented by a set of parameters and hyperparameters. The parameters include the weights and biases of all nodes, and the hyper-parameters include a number of levers like layers, nodes in a layer, activation functions, cost functions, learning rate, and optimizers.

Training neural model means determining the right values for these parameters and hyperparameters in such a way that it maximizes the accuracy of predictions for the use case.

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store