Machine Learning (Theory)

1/1/2013

Deep Learning 2012

2012 was a tumultuous year for me, but it was undeniably a great year for deep learning efforts. Signs of this include:

  1. Winning a Kaggle competition.
  2. Wide adoption of deep learning for speech recognition.
  3. Significant industry support.
  4. Gains in image recognition.

This is a rare event in research: a significant capability breakout. Congratulations are definitely in order for those who managed to achieve it. At this point, deep learning algorithms seem like a choice undeniably worth investigating for real applications with significant data.

7 Comments to “Deep Learning 2012”
  1. Anon says:

    The link for (2) doesn’t seem right.

  2. [...] Machine Learning (Theory): http://hunch.net/?p=2609 Share this:TwitterFacebookLike this:LikeBe the first to like [...]

  3. Anon2 says:

    The correct link for 2. must have been the following: http://www.cs.toronto.edu/~hinton/absps/DNN-2012-proof.pdf

  4. Mario says:

    happy new year man!

  5. Koushik Saha says:

    Hey this is koushik. i am a final year student and trying my hands in machine learning. i am interested to do a project in deep learning towards my final semester . can u help me choosing such projects and pointing to some resources?

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