Python: How to create and train a neural network machine learning model using sklearn/scikit-learn

Description

Today 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. https://virtual-school.org/tutorial?v=lFcIYTd74KI

Tags

python, sci-kit, scikit, scikit-learn, mlpregressor, multi layer perceptron, relu, rectified linear unit, neural network, machine learning, ML, lbfgs, limited-memory bfgs, predict