This should be an argumentative essay. Review and critically examine the ideas presented in “Deep Learning – A Critical Appraisal”, in light of probabilistic models of cognition and neural networks. Tips about how to write this type of essay: -          Start with a brief summary of the main ideas expressed in the paper. -          Try to put the concepts discussed in the paper in relation to the topics that have been explored in probabilistic approaches to modelling cognition and neural networks. -          Are the conclusions of the paper justified in light of the current debate in cognitive modeling? In which way could the ideas presented in the paper further improve modern computational approaches in cognitive modeling? -          The discussion should be supported by at least a few citations of relevant, recent scientific articles that must be listed in the final bibliography.   Succinctness is positively evaluated, so try to be clear and concise when elaborating your arguments. The word count should not exceed 2000 words (including references). Figures integrating the text are welcome.