A Recipe To Decide When To Use The Different Types Of Deep Learning

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Summary

When to Use MLP, CNN, and RNN Neural Networks

What neural network is appropriate for your predictive modeling problem?

It can be difficult for a beginner to the field of deep learning to know what type of network to use. There are so many types of networks to choose from and new methods being published and discussed every day.

To make things worse, most neural networks are flexible enough that they work (make a prediction) even when used with the wrong type of data or prediction problem.

In this post, you will discover the suggested use for the three main classes of artificial neural networks.

After reading this post, you will know:

Which types of neural networks to focus on when working on a predictive modeling problem.

When to use, not use, and possible try using an MLP, CNN, and RNN on a project.

To consider the use of hybrid models and to have a clear idea of your project goals before selecting a model.



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