Recent progress in the convolutional neural network has provided new tools for signal processing and quantification. Magnetic Resonance Spectroscopy is a powerful quantitative tool, which allows notably to access lipid composition. We aim to design and evaluate a neural network for lipid MRS quantification using simulated data.