This article was written by Jean-Marc Valin.
This demo presents the RNNoise project, showing how deep learning can be applied to noise suppression. The main idea is to combine classic signal processing with deep learning to create a real-time noise suppression algorithm that's small and fast. No expensive GPUs required — it runs easily on a Raspberry Pi. The result is much simpler (easier to tune) and sounds…Continue
Added by Amelia Matteson on November 26, 2017 at 12:30pm — No Comments
This article was written by Denny Britz.
In this post we will implement a simple 3-layer neural network from scratch. We won’t derive all the math that’s required, but I will try to give an intuitive explanation of what we are doing. I will also point to resources for you read up on the details.
Added by Amelia Matteson on November 24, 2017 at 10:00am — No Comments
This article was written by Ray of RayOnStorage Blog. Original title: Compressing information through the information bottleneck during deep learning.…Continue
Added by Amelia Matteson on November 20, 2017 at 11:00am — No Comments
This article was written by Jon Krohn.
At untapt, all of our models involve Natural Language Processing (NLP) in one way or another. Our algorithms consider the natural, written language of our users’ work experience and, based on real-world decisions that hiring managers have made, we can assign a…Continue
This article is written by George McIntire.
"A lie gets halfway around the world before the truth has a chance to get its pants on." -Winston Churchill
Since the 2016 presidential election, one topic dominating political discourse is the issue of “Fake News”. A number of political pundits claim…Continue
This article was written by Tomasz Malisiewicz.
You might go to a cutting-edge machine learning research conference like NIPS hoping to find some mathematical insight that will help you take your deep learning system's performance to the next level. Unfortunately, as Andrew Ng reiterated to a…Continue
Added by Amelia Matteson on November 3, 2017 at 10:00am — No Comments
This article was written by Paramita Ghosh.
A 1969 McKinsey article claimed that computers were so dumb that they were not capable of making any decisions. In fact they said, it was human intelligence that drives the dumb machine. Alas, this claim has become a bit of a “joke” over the years, as the modern computers are gradually replacing…Continue
Added by Amelia Matteson on November 1, 2017 at 10:00am — No Comments