Natural Language, NLP, Cognition, Image Recognition, Convolutional Network.
considered linear models, because they only consider linear combinations of the input variables. We will show what all the differences between linear (i.e. logistic regression) and non-linear models (i.e. neural networks) is about, by going through a common example from the book Deep Learning by