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(1). An excellent overview paper on Deep Learning was published in Nature. The authors, Yann LeCun, Yoshua Bengio, and Geoffrey Hinton, are pioneers and leading scientists in Deep Learning field. You can access the paper through http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html or download it from Module 5-Review papers on Western Online.

· Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. “Deep learning.”, Nature 521.7553, 436-444. (2015)

You can skip sections of “Distributed representations and language processing” and “Recurrent neural networks”.

Write three pages of summary on this review paper. Do not include pictures in your submission.

Do not just write down the contents of the paper. Read the paper and submit the assignment with your own writing. Try to focus on some interesting points, for example:

What kind of algorithms are used? How is Backpropagation used?

What kind of applications are improved in Deep Learning? Why CNN is so successful?

What is representation learning? And why is it important? How is generalization explained in this paper?

What kind of animals are introduced in the paper and why? Why Deep Learning will be successful in the future?

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