There are a lot of things to consider when building a deep learning model in an multilayer perceptron. You have to consider the architecture, the activation function, the optimization algorithm, the loss function, the weight initialization strategy, the regularization strategy, and the training strategy. We will discuss more about them in the following list:
- Architecture: The first element that you need to consider when building deep learning models is the architecture of your MLP. When we say architecture, we are talking about the number of layers and the number of neurons per layer. The number of neurons in the input layer is determined by the number of features that you have in your dataset. The same thing is ...
