- Softmax activation function for output layers. I intend to replace my current use of the Sigmoid function in the output layer of my standby neural net with this Softmax function. The Softmax is far more suitable for my intended classification purposes.
- Octave code for using momentum to speed up the training of a neural net.
- Restricted Boltzmann machines, the stacking thereof and deep learning, and unsupervised learning. I shall talk more about this in a future post.
"Trading is statistics and time series analysis." This blog details my progress in developing a systematic trading system for use on the futures and forex markets, with discussion of the various indicators and other inputs used in the creation of the system. Also discussed are some of the issues/problems encountered during this development process. Within the blog posts there are links to other web pages that are/have been useful to me.
Wednesday 28 November 2012
Geoff Hinton's Coursera Course Almost Ended
I am now in the final week of the course (see previous post) and just have the final exam to complete. The course has been very intensive, very interesting and much more difficult than the first machine learning course I took. Personally, the big take aways from this course for the things that I want to do are:
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