dskspeechsynthesis wordpress.com

Speech Synthesis Project ift6266h14 A great WordPress.com site

A great WordPress.com site

OVERVIEW

The site dskspeechsynthesis.wordpress.com presently has a traffic classification of zero (the smaller the more users). We have analyzed nineteen pages within the web site dskspeechsynthesis.wordpress.com and found thirty-one websites referencing dskspeechsynthesis.wordpress.com.
Pages Parsed
19
Links to this site
31

DSKSPEECHSYNTHESIS.WORDPRESS.COM TRAFFIC

The site dskspeechsynthesis.wordpress.com is seeing alternating amounts of traffic all through the year.
Traffic for dskspeechsynthesis.wordpress.com

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Traffic ranking (by month) for dskspeechsynthesis.wordpress.com

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Traffic ranking by day of the week for dskspeechsynthesis.wordpress.com

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LINKS TO WEBSITE

WHAT DOES DSKSPEECHSYNTHESIS.WORDPRESS.COM LOOK LIKE?

Desktop Screenshot of dskspeechsynthesis.wordpress.com Mobile Screenshot of dskspeechsynthesis.wordpress.com Tablet Screenshot of dskspeechsynthesis.wordpress.com

DSKSPEECHSYNTHESIS.WORDPRESS.COM SERVER

We found that the main root page on dskspeechsynthesis.wordpress.com took two hundred and twelve milliseconds to download. I detected a SSL certificate, so we consider this site secure.
Load time
0.212 sec
SSL
SECURE
IP
192.0.78.13

BROWSER IMAGE

SERVER SOFTWARE

We discovered that dskspeechsynthesis.wordpress.com is weilding the nginx os.

HTML TITLE

Speech Synthesis Project ift6266h14 A great WordPress.com site

DESCRIPTION

A great WordPress.com site

PARSED CONTENT

The site had the following in the homepage, "So far using more components seems only to improve results." I noticed that the web site stated " I was able to train models longer and get better results using an exponential decay of 1." They also stated " I also implemented the NADE trick, although the network that used it is still training and not close to convergence. No NADE trick means move fast, longer training."

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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.

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