Experimenting with representation learning My journal for IFT6266 projects
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Web site for the graduate class on Representation Learning Algorithms IFT6266 H14.
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Experimenting with representation learning My journal for IFT6266 projectsDESCRIPTION
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The site had the following in the homepage, "My journal for IFT6266 projects." I noticed that the web site stated " Increasing the number of batches per iteration." They also stated " Due to the big size of the dataset, I decided early in the project to not iterate over all the training set 200M examples during each training epoch. 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."ANALYZE MORE BUSINESSES
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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