seaandsailor

Nov 03, 2014. A really brief introduction to audio signal processing in Julia. Oct 28, 2014. Configuring MATLAB to work with XCode 6 on Yosemite. Apr 27, 2014. Using stochastic neurons for conditional computation. Mar 31, 2014. Using an auditory-inspired representation for speech. Mar 19, 2014. Experiments with a 2 layer MLP incorporating phone information. Feb 25, 2014. Dictionary Learning and Sparse Coding for Speech Signals. Feb 01, 2014. Jan 25, 2014. Jul 28, 2013. Jun 25, 2013.

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This web site seaandsailor.com currently has a traffic classification of zero (the smaller the higher page views). We have audited seventeen pages inside the domain seaandsailor.com and found fifty-three websites referring to seaandsailor.com. We were able to unearth one contacts and directions for seaandsailor.com to help you correspond with them. We were able to unearth two mass networking platforms linked to seaandsailor.com. This web site seaandsailor.com has been on the internet for eight hundred and seventy weeks, three days, five hours, and forty minutes.
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This web site seaandsailor.com was started on on November 03, 2007. This web page was changed on February 05, 2014. This site will go back on the market on November 02, 2015. It is currently eight hundred and seventy weeks, three days, five hours, and forty minutes old.
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High Noon GMT Oh, to be torn twixt love an tenure

This is part 4 of my explorations of using deep learning for assisting the process of music composition. In this part, I look at the process of composition using a model built using deep learning methods on over 23,000 folk tunes. As was one motivation for David Cope.

Representation Learning - ift6266h14 Yoshua Bengios graduate class on representation learning and deep learning

Web site for the graduate class on Representation Learning Algorithms IFT6266 H14.

IFT6266 Project on Representation Learning A great WordPress.com site

Results with ReLUs and different subjects. Using ReLUs on the hidden layers. Using more hidden units in the NSNN. 1 Using ReLUs on the hidden layers. This effect was found to disappear after around 75 epochs.

Experimenting with representation learning My journal for IFT6266 projects

My journal for IFT6266 projects. Increasing the number of batches per iteration. Instead, a random subset of the training examples is sampled on every epoch. This way, I get feedback from the monitoring channels more often. The learning rate is also adjusted more often this way.

IFT6266 Williams Blog

I proposed to use the implementation composed of a SdA and a MLP of 2 hidden layers for each phoneme. I will present in this last post the results of this proposal. The hyperparameters of the implementation are almost the same as the ones used in my final experiment post.

Random Mumbling

On the RNN implementation based on Vincent Dumoulin implementation. We can see that the prediction error from ground truth varies a lot along the sequence.

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seaandsailor

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Nov 03, 2014. A really brief introduction to audio signal processing in Julia. Oct 28, 2014. Configuring MATLAB to work with XCode 6 on Yosemite. Apr 27, 2014. Using stochastic neurons for conditional computation. Mar 31, 2014. Using an auditory-inspired representation for speech. Mar 19, 2014. Experiments with a 2 layer MLP incorporating phone information. Feb 25, 2014. Dictionary Learning and Sparse Coding for Speech Signals. Feb 01, 2014. Jan 25, 2014. Jul 28, 2013. Jun 25, 2013.

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This web site seaandsailor.com states the following, "A really brief introduction to audio signal processing in Julia." Our analyzers noticed that the webpage stated " Configuring MATLAB to work with XCode 6 on Yosemite." The Website also said " Using stochastic neurons for conditional computation. Using an auditory-inspired representation for speech. Experiments with a 2 layer MLP incorporating phone information. Dictionary Learning and Sparse Coding for Speech Signals."

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