Comparing Python Libraries: Pylearn2 vs. scikit-learn

With the popularity of machine learning and deep learning, several organisations and academia have started developing efficient tools and libraries. For instance, tech giants like Google, Microsoft, and Facebook have been heavily investing in building dynamic and robust deep learning models. When it comes to building deep learning models, Python is considered as one of the most suitable languages due to its plethora of tools and libraries available for performing machine learning tasks. In this article, we compared the two popular Python machine learning libraries, scikit-learn and Pylearn2. Before delving deep into the libraries, let's get through the basic definition first. Built on top of NumPy, SciPy, and Matplotlib, scikit-learn is a popular machine learning library in Python language.