Visualize the functioning of supervised learning models – part 4: Neural networks
After trying regression using k-neighbours, linear and SVR models, I wanted to conclude using neural networks.
I did the 5 deep learning courses from Andrew Ng on Coursera to get a grasp of these models, and decided to use Keras. This library makes defining, training and applying a model quite easy, once one has an idea of what to use.
Artificial neural networks
The naming is suggestive and one may think the goal is to replicate the human brain, but it’s more akin to a generic and very flexible mathematical function.
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