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First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. Line 33: I don't think it is accurate to attribute the recent success of supervised neural nets on various applications to BP and dropout. Firstly, learning nets with gradient descent has been around a long time, and the key to its recent success has mostly been fast computers/GPUs, a wealth of labelled data, advances in understanding of how to make SGD work well (e.g. Techniques like dropout have also been useful in reducing overfitting, but are hardly the key missing ingredient to make these systems work well. Line 37: The claim that the lacklustre the results associated with unsupervised generative approaches is owed purely to their intractability issues is a strong and problematic one.