Machine Learning Resources

What is the difference between Deep and Shallow networks?

Bookmark this question

A Deep Neural Network consists of two or more hidden layers. While a single layer perceptron can be used as a binary classifier for data that is linearly separable, a Neural Network with one hidden layer is the usual case in Traditional Machine Learning.  This is also the minimum number of layers required to be useful for such a case, and this configuration is called a ‘Shallow Network’. As more layers are added to the Neural Network, the model moves towards being a ‘Deep Network’. 

Leave your Comments and Suggestions below:

Please Login or Sign Up to leave a comment

Partner Ad  

Find out all the ways
that you can