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Garbage In Garbage Out | Garbage In Garbage Out

A blog about many things

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Garbage In Garbage Out | Garbage In Garbage Out | kastnerkyle.github.io Reviews

https://kastnerkyle.github.io

A blog about many things

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kastnerkyle.github.io kastnerkyle.github.io
1

Archive | Garbage In Garbage Out

http://kastnerkyle.github.io/archive.html

Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. Contents 2016 Kyle Kastner.

2

Bad Speech Synthesis Made Simple | Garbage In Garbage Out

http://kastnerkyle.github.io/posts/bad-speech-synthesis-made-simple

Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. Bad Speech Synthesis Made Simple. Speech synthesis is a core component of many modern products - turn by turn navigation, automatic personal assistants/search like Siri and Alexa, and even the voices of AI/robots/people in computer games and movies are (in some cases) generated by speech synthesis systems. But how are these systems built? How can we make computers reply to our requests (and demands) using speech? This seemed to be t...

3

Using PyTables for Larger-Than-RAM Data Processing | Garbage In Garbage Out

http://kastnerkyle.github.io/posts/using-pytables-for-larger-than-ram-data-processing

Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. Using PyTables for Larger-Than-RAM Data Processing. HDF5 is a direct, easy path to "big" (or just annoyingly larger than RAM) data in scientific python. Using the HDF5 file format and careful coding of your algorithms, it is quite possible to process "big-ish" data on modest hardware, and really push your resources to the limit before moving to larger, fancier distributed platforms. Make random cluster points. PyTables is a package ...

4

Introduction to Page Rank | Garbage In Garbage Out

http://kastnerkyle.github.io/posts/introduction-to-page-rank

Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. Introduction to Page Rank. Around 25 minutes into this lecture. There is some good discussion of the PageRank algorithm. I have always wanted to code up a basic version of this algorithm, so this is a great excuse. This algorithm is probably one of the cleanest examples of Markov Chains that I have seen, and obviously its application was quite successful. Http:/ www.cs.ubc.ca/ nando/340-2009/lectures/pages.zip'. Turn the Beat Around.

5

Linear regression | Garbage In Garbage Out

http://kastnerkyle.github.io/posts/linear-regression

Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. When presented with an unknown dataset, it is very common to attempt to find trends or patterns. The most basic form of this is visual inspection - how is the data trending? Does it repeat in cycles? Can we predict future data given some past events? The mathematical approach to this "trend finding" is called regression. First, the import statements. One simple method for this is linear regression. Y = theta 0 theta 1 x 1$. Can be u...

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ift6266h15.wordpress.com ift6266h15.wordpress.com

Project Blogs and Repos – IFT6266 – H2015 Representation Learning

https://ift6266h15.wordpress.com/project-blogs-and-repos

IFT6266 – H2015 Representation Learning. A mostly deep learning course. Project Blogs and Repos. Project Blogs and Repos. Https:/ gyomift6266h15.wordpress.com/. GIT: https:/ github.com/gyom/ift6266h15. Blog: http:/ adbrebs.wordpress.com. GIT: https:/ github.com/adbrebs/dogs vs cats. Blog: https:/ cesarlaurent.wordpress.com/. GIT: https:/ github.com/Thrandis/ift6266h15. Blog: https:/ jychung.wordpress.com/. GIT: https:/ github.com/jych/ift6266h15. GIT: https:/ github.com/cdansereau/ift6266. José Manuel Ro...

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Tuning Recurrent Neural Networks with Reinforcement Learning

https://magenta.tensorflow.org/2016/11/09/tuning-recurrent-networks-with-reinforcement-learning

Tuning Recurrent Neural Networks with Reinforcement Learning. Nov 9, 2016. We are excited to announce our new RL Tuner algorithm. A method for enchancing the performance of an LSTM trained on data using Reinforcement Learning (RL). We create an RL reward function that teaches the model to follow certain rules, while still allowing it to retain information learned from data. We use. When I joined Magenta. Is conceptually similar to a. Music is an interesting test-bed for sequence generation, in that music...

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Garbage In Garbage Out | Garbage In Garbage Out

Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. Bad Speech Synthesis Made Simple. Speech synthesis is a core component of many modern products - turn by turn navigation, automatic personal assistants/search like Siri and Alexa, and even the voices of AI/robots/people in computer games and movies are (in some cases) generated by speech synthesis systems. But how are these systems built? How can we make computers reply to our requests (and demands) using speech? Regression and clas...

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