Hello, I am relatively new in Machine Learning and I recently stumbled upon Deep Learning which (if I am right) Machine Learning Using Massive Neural Networks with several hidden layers. Can it be used for regression of real continuous functions?
Hello, yes you can use the deep neural networks for regression problem. Just replace the loss function at the end of the network.
For regression problem, usually the Euclidean loss function was used at the end of the network.
you may find this tutorial useful
http://machinelearningmastery.com/regression-tutorial-keras-deep-learning-library-python/
yes, it is a flexible non linear framework, so it can be used to approximate arbitrary functions
Lex Fridman of MIT has a series of lectures available on YouTube covering deep learning CNNs and self driving cars. Here is one of them: https://www.youtube.com/watch?v=1L0TKZQcUtA
https://www.youtube.com/watch?v=1L0TKZQcUtA
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