What Neural Networks to Focus on? Deep learning is the application of artificial neural networks using modern hardware. It allows the development, training, and use of neural networks that are much larger (more layers) than was previously thought possible. There are thousands of types of specific neural networks proposed by researchers as modifications or tweaks to existing models. Sometimes wholly new approaches. As a practitioner, I recommend waiting until a model emerges as generally applicable. It is hard to tease out the signal of what works well generally from the noise of the vast number of publications released daily or weekly. There are three classes of artificial neural networks that I recommend that you focus on in general. They are: Multilayer Perceptrons (MLPs) Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) These three classes of networks provide a lot of flexibility and have proven themselves over decades to be useful and reliable in a wide rang...
PhD || Artificial Intelligence, Machine Learning, Soft Computing, Quantum Machine Learning, Data Sciences.