2012 was a tumultuous year for me, but it was undeniably a great year for deep learning efforts. Signs of this include:
- Winning a Kaggle competition.
- Wide adoption of deep learning for speech recognition.
- Significant industry support.
- 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.
The link for (2) doesn’t seem right.
the final version is here:
http://research.microsoft.com/apps/pubs/default.aspx?id=171498
(and http://research.microsoft.com/apps/pubs/default.aspx?id=144412)
The correct link for 2. must have been the following: http://www.cs.toronto.edu/~hinton/absps/DNN-2012-proof.pdf
Yep, thanks. Updated.
happy new year man!
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?