- 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.
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: