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Recurrent Neural Network Tutorial for Artists (2017)
Recurrent Neural Network Tutorial for Artists
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The latest blog posts to take off on Hacker News. 292 posts.
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Interactive computational neuroscience – part 1, spiking neurons
An interactive introduction to spiking neuron models -- all in the browser. Learn about modeling neurons as dynamical systems and the computational properties of neurons.
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YouTube Face is clickbait, attaining human form
On YouTube, there’s a long tail of content that pretty much guarantees the inclusion of every potential human interest. There are skate videos, makeup tutorials, and backyard surgical removals of blackheads. And yet the presentation of a lot of this content — especially when it’s trying to attract a large audience …
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OpenAI Charter
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Lessons Learned Reproducing a Deep Reinforcement Learning Paper
There are a lot of neat things going on in deep reinforcement learning. One of the coolest things from last year was OpenAI and DeepMind’s work on training an agent using feedback from a human rather than a classical reward signal. There’s a great blog post about it at Learning from Human Preferences , and the…
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Google Cloud Text-To-Speech Powered by DeepMind WaveNet Technology
Many Google products (e.g., the Google Assistant, Search, Maps) come with built-in high-quality text-to-speech synthesis that produces natural sounding speech. Developers have been telling us they’d like to add text-to-speech to their own applications, so today we’re bringing this technology to Google Cloud Platform…
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Learning to write programs that generate images
Through a human’s eyes, the world is much more than just the images reflected in our corneas. For example, when we look at a building and admire the intricacies of its design, we can appreciate the craftsmanship it requires. This ability to interpret objects through the tools that created them gives us a richer…
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Why collision avoidance is harder for an AI-based system
Recent incident where Uber car was involved in an accident where a cyclist got killed has sparked many comments and opinions. Many blame…
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Guide to Speech Recognition with Python
An in-depth tutorial on speech recognition with Python. Learn which speech recognition library gives the best results and build a full-featured "Guess The Word" game with it.
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Listening for illegal logging chainsaws using TensorFlow
Rainforest Connection founder and CEO Topher White shares how TensorFlow, Google’s open-source machine learning framework, aids in their efforts.
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Understanding Deep Learning Through Neuron Deletion
Deep neural networks are composed of many individual neurons, which combine in complex and counterintuitive ways to solve a wide range of challenging tasks. This complexity grants neural networks their power but also earns them their reputation as confusing and opaque black boxes.
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Exploring Word2Vec
In my previous blog post, I explored some of the early ways of word embeddings and their shortcomings. The purpose of this post is to explo...
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NGraph: A New Open Source Compiler for Deep Learning Systems
Intel Search Results Page
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How to build a brain – An introduction to neurophysiology for engineers
How does the brain work? While neuroscience provides insights on small-scale processes and overall behavior, we don’t know much for sure about the learning and processing algorithms in between. In this blog post, I will give an introduction to what we know. Let’s take an engineering perspective and play evolution: How…
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PyTorch – Internal Architecture Tour
Update 28 Feb 2019: I added a new blog post with a slide deck containing the presentation I did for PyData Montreal. Introduction Short intro to Python extension objects in C/C++ Zero-copy PyTorch Tensor to Numpy and vice-versa Tensor Storage Shared Memory DLPack: a hope for the Deep Learning frameworks Babel…
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Semantic Image Segmentation with DeepLab in Tensorflow
Posted by Liang-Chieh Chen and Yukun Zhu, Software Engineers, Google ResearchSemantic image segmentation, the task of assigning a semantic label, s...
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Reptile: A Scalable Meta-Learning Algorithm
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Do neural networks dream of electric sheep?
If you’ve been on the internet today, you’ve probably interacted with a neural network. They’re a type of machine learning algorithm that’s used for everything from language translation to finance modeling. One of their specialties is image recognition. Several companies - including Google, Microsoft, IBM, and…
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Google-Landmarks: A New Dataset and Challenge for Landmark Recognition
Posted by André Araujo and Tobias Weyand, Software Engineers, Google ResearchImage classification technology has shown remarkable improvement over ...