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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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The latest blog posts to take off on Hacker News. 6,335 posts.
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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 ...
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Learning by playing
Getting children (and adults) to tidy up after themselves can be a challenge, but we face an even greater challenge trying to get our AI agents to do the same. Success depends on the mastery of several core visuo-motor skills: approaching an object, grasping and lifting it, opening a box and putting things inside of…
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Probabilistic Programming and Bayesian Methods for Hackers (2013)
Bayesian Methods for Hackers : An intro to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view.
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The Google Assistant is going global
Over the past year and a half, the Google Assistant has grown from being available on just one device in one language to across many types of devices, including speakers…
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Yann LeCun vs. Christopher Manning on Need for Priors in Deep Learning
Earlier this month, I had the exciting opportunity to moderate a discussion between Professors Yann LeCun and Christopher Manning, ti...
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A Global Optimization Algorithm Worth Using
Here is a common problem: you have some machine learning algorithm you want to use but it has these damn hyperparameters . These are number...
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Preparing for Malicious Uses of AI
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Snips Uses Rust to Build an Embedded Voice Assistant
The team at Paris-based Snips has created a voice assistant that can be embedded in a single device or used in a home network to control lights, thermostat
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OpenAI Supporters
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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A promenade of PyTorch
Musings on navigating the tech bubble with philosophy and self-improvement.
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Assessing Cardiovascular Risk Factors with Computer Vision
Posted by Lily Peng MD PhD, Product Manager, Google Brain Team Heart attacks, strokes and other cardiovascular (CV) diseases continue to be among ...
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Introduction to Apple WatchKit with Core Motion – Tracking Jumping Jacks
Like many developers exploring the world of wearables, I’m an avid fan of apps that track your exercise. Companies like Strava & Runkeeper have paved the way for what we can do with motion and health data, creating new and… Continue reading Introduction to Apple WatchKit with Core Motion — Tracking Jumping Jacks
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Interpretable Machine Learning Through Teaching
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Deep reinforcement learning doesn't work yet
June 24, 2018 note: If you want to cite an example from the post, please cite the paper which that example came from. If you want to cite the post as a whole, you can use the following BibTeX: