“The distinction between deeper and wider models is; deeper models are better to capture more high-level abstractions that are important to differentiate particularly different classes (car vs horse) and wider models are better for fine-grain problems where the classes are close to each other and onl…”— Data Science Latin America, datasciencelatam.comTagged: Machine Learning, How To