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In recent years, attention\n-has shifted back to neural networks as hardware improvements have allowed the\n-techniques that have come to be known as deep learning to surpass other machine\n-learning algorithms. `TODO: add what is/isn't deep learning to this paragraph?\n-Revise paragraph to also fix lengthy closing sentence. Issue #421`\n+Deep learning methods have some common features. First, they encode data via\n+multiple layers. Each layer essentially performs feature construction for the\n+layers below it. A process is often used to allow layers deeper in the network\n+to contribute to the refinement of earlier layers. This elements provide these\n+algorithms with the capability to automatically engineer features that are\n+suitable for many tasks and to customize those features for one or more specific\n+tasks. Deep learning does many of the same things as more familiar approaches.\n+Like a clustering algorithm it can build features that describe recurrent","path":"sections/02_intro.md","position":20,"original_position":20,"commit_id":"fb43365a877fa94d85bdd98f2e72376d82374cf3","original_commit_id":"fb43365a877fa94d85bdd98f2e72376d82374cf3","user":{"login":"cgreene","id":542643,"avatar_url":"https://avatars1.githubusercontent.com/u/542643?v=3","gravatar_id":"","url":"https://api.github.com/users/cgreene","html_url":"https://github.com/cgreene","followers_url":"https://api.github.com/users/cgreene/followers","following_url":"https://api.github.com/users/cgreene/following{/other_user}","gists_url":"https://api.github.com/users/cgreene/gists{/gist_id}","starred_url":"https://api.github.com/users/cgreene/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cgreene/subscriptions","organizations_url":"https://api.github.com/users/cgreene/orgs","repos_url":"https://api.github.com/users/cgreene/repos","events_url":"https://api.github.com/users/cgreene/events{/privacy}","received_events_url":"https://api.github.com/users/cgreene/received_events","type":"User","site_admin":false},"body":"👍 ","created_at":"2017-05-24T11:38:05Z","updated_at":"2017-05-24T11:38:05Z","html_url":"https://github.com/greenelab/deep-review/pull/507#discussion_r118228817","pull_request_url":"https://api.github.com/repos/greenelab/deep-review/pulls/507","_links":{"self":{"href":"https://api.github.com/repos/greenelab/deep-review/pulls/comments/118228817"},"html":{"href":"https://github.com/greenelab/deep-review/pull/507#discussion_r118228817"},"pull_request":{"href":"https://api.github.com/repos/greenelab/deep-review/pulls/507"}}},"pull_request":{"url":"https://api.github.com/repos/greenelab/deep-review/pulls/507","id":122082555,"html_url":"https://github.com/greenelab/deep-review/pull/507","diff_url":"https://github.com/greenelab/deep-review/pull/507.diff","patch_url":"https://github.com/greenelab/deep-review/pull/507.patch","issue_url":"https://api.github.com/repos/greenelab/deep-review/issues/507","number":507,"state":"open","locked":false,"title":"Non-technical description of deep learning","user":{"login":"cgreene","id":542643,"avatar_url":"https://avatars1.githubusercontent.com/u/542643?v=3","gravatar_id":"","url":"https://api.github.com/users/cgreene","html_url":"https://github.com/cgreene","followers_url":"https://api.github.com/users/cgreene/followers","following_url":"https://api.github.com/users/cgreene/following{/other_user}","gists_url":"https://api.github.com/users/cgreene/gists{/gist_id}","starred_url":"https://api.github.com/users/cgreene/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cgreene/subscriptions","organizations_url":"https://api.github.com/users/cgreene/orgs","repos_url":"https://api.github.com/users/cgreene/repos","events_url":"https://api.github.com/users/cgreene/events{/privacy}","received_events_url":"https://api.github.com/users/cgreene/received_events","type":"User","site_admin":false},"body":"This is an attempt to solve the \"what actually qualifies as deep learning\" question. This would close #421. @davharris please fell free to edit this. I'd love to improve what's 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