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Deep Text Correcter
Alex Paino's Personal Site and Blog
New
The latest blog posts to take off on Hacker News. 6,337 posts.
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TensorKart: self-driving MarioKart with TensorFlow
Kevin Hughes' blog
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Challenges you’re going to face when building a chatbot
Developing your own medical chatbot? Challenges and lessons learned from developing Symptomate.
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Machine Learning Crash Course: Part 1
Machine Learning at Berkeley is a student organization at UC Berkeley. Click to read ML@B Blog, by Machine Learning at Berkeley, a Substack publication with thousands of subscribers.
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Machine Learning Crash Course: Part 2
Machine Learning at Berkeley is a student organization at UC Berkeley. Click to read ML@B Blog, by Machine Learning at Berkeley, a Substack publication with thousands of subscribers.
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A Guide to Deep Learning
YerevaNN /jɛɾɛvɑnˈɛn/ is a machine learning research center based in Yerevan, Armenia.
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Learning Machine Learning: A beginner's journey
I have been learning about machine learning and deep learning (ML/DL) for the last year. I think ML/DL is here to stay. I don't think this i...
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Deep Learning Enables You to Hide Screen When Your Boss Is Approaching
Discover how advanced deep learning technologies offer revolutionary screen privacy solutions in the workplace. Learn to safeguard your digital space with ease.
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Superintelligence: The Idea That Eats Smart People
This is the text version of a talk I gave on October 29, 2016, at Web Camp Zagreb [ video ] (45 mins)
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The Most Popular Language for Machine Learning
IBM Developer is the source for hands-on training and in-demand learning on relevant technologies such as generative AI, data science, Java, and more.
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Tool AIs want to be agent AIs
AIs limited to pure computation (Tool AIs) supporting humans, will be less intelligent, efficient, and economically valuable than more autonomous reinforcement-learning AIs (Agent AIs) who act on their own and meta-learn, because all problems are reinforcement-learning problems.
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Natural Language Corpus Data: Beautiful Data
Data files are derived from the Google Web Trillion Word Corpus , as described by Thorsten Brants and Alex Franz, and distributed by the Linguistic Data Consortium.
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A Visual and Interactive Guide to the Basics of Neural Networks
Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by training and I’ve had…
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A Basic Introduction to Neural Networks (2007)
Although the mathematics involved with neural networking is not a trivial matter, a user can rather easily gain at least an operational understanding of their structure and function.
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Start building Actions on Google
The Google Assistant brings together all of the technology and smarts we've been building for years, from the Knowledge Graph to Natural Language Processing. To be a truly successful Assistant, it should be able to connect users across the apps and services in their lives. This makes enabling an ecosystem where…
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Major advancements in Deep Learning in 2016
Deep Learning has been the core topic in the Machine Learning community the last couple of years and 2016 was not the exception. In this article, we will go through the advancements we think have contributed the most (or have the potential) to move the field forward and how organizations and the community are making…
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Open sourcing Embedding Projector: a tool for visualizing high dimensional data
Posted by Daniel Smilkov and the Big Picture group Recent advances in Machine Learning (ML) have shown impressive results, with applications rangin...
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Open-sourcing DeepMind Lab
DeepMind's scientific mission is to push the boundaries of AI, developing systems that can learn to solve any complex problem without needing to be taught how.
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What makes Bach sound like Bach? New dataset teaches algorithms classical music
MusicNet is the first publicly available large-scale classical music dataset designed to allow machine learning algorithms to tackle everything from automated m
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This AI Boom Will Also Bust
Imagine an innovation in pipes.
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Artificial Intelligence Generates Christmas Song from Holiday Image
Researchers from University of Toronto developed an AI system that creates and then sings a Christmas song based by analyzing the visual components of an uploaded image. With the help of CUDA…
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Finding the genre of a song with Deep Learning
A step-by-step guide to make your computer a music expert.