Python: How to create and train a neural network machine learning model using sklearn/scikit-learn
DescriptionToday we will show you how to create and train a neural network machine learning model using sklearn/sci-kit learn. We will use MLP Regressor (Multi-layer Perceptron Regressor) as model, RELU (rectified linear unit) for activation, LBFGS (Limited-memory BFGS) as solver/optimizer. We will try to teach the model how to predict the average of eight random numbers.
multi layer perceptron,
rectified linear unit,