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The Limitations of Deep Learning
This post is adapted from Section 2 of Chapter 9 of my book, Deep Learning with Python (Manning Publications).
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Deep image prior 'learns' on just one image
Deep convolutional networks have become a popular tool for image generation and restoration. Generally, their excellent performance is imputed to their ability to learn realistic image priors from a large number of example images. In this paper, we show that, on the contrary, the structure of a generator network is…
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Autodraw – Fast Drawing for Everyone
AutoDraw is a new A.I. Experiment, built by Google Creative Lab, which uses machine learning and artists’ drawings, to help everyone create anything visual, fast.
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YC AI
Some think the excitement around Artificial Intelligence is overhyped. They might be right. But if they’re wrong, we’re on the precipice of something really big. We can’t afford to ignore what might be the biggest technological leap since the Internet. In an effort to usher in more innovation with AI, Y Combinator is…
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TensorKart: self-driving MarioKart with TensorFlow
Kevin Hughes' blog
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DeepMind and Blizzard Open StarCraft II as an AI Research Environment
DeepMind's scientific mission is to push the boundaries of AI by developing systems that can learn to solve complex problems. To do this, we design agents and test their ability in a wide range of environments from the purpose-built DeepMind Lab to established games, such as Atari and Go.
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Unsupervised sentiment neuron
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Deep learning algorithm diagnoses skin cancer as well as seasoned dermatologists
In hopes of creating better access to medical care, Stanford researchers have trained an algorithm to diagnose skin cancer.
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Machine learning without centralized training data
Posted by Brendan McMahan and Daniel Ramage, Research ScientistsStandard machine learning approaches require centralizing the training data on one ...
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Using Deep Learning to Create Professional-Level Photographs
Posted by Hui Fang, Software Engineer, Machine PerceptionMachine learning (ML) excels in many areas with well defined goals. Tasks where there exis...
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Machine Learning Crash Course: The Bias-Variance Dilemma
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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Initial Release of Mozilla’s Open Source Speech Recognition Model and Voice Data
With the holiday, gift-giving season upon us, many people are about to experience the ease and power of new speech-enabled devices. Technical advancements
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Visualize data instantly with machine learning in Google Sheets
Today we’re rolling out new features in Sheets that make it even easier for you to visualize and share your data, and find insights your teams can act on.
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Robots that learn
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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WaveNet launches in the Google Assistant
Just over a year ago we presented WaveNet, a new deep neural network for generating raw audio waveforms that is capable of producing better and more realistic-sounding speech than existing techniques. At that time, the model was a research prototype and was too computationally intensive to work in consumer products.
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Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
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GPUs Are Now Available for Google Compute Engine and Cloud Machine Learning
Google Cloud Platform gets a performance boost today with the much anticipated public beta of NVIDIA Tesla K80 GPUs . You can now spin up NVIDIA GPU-based VMs in three GCP regions: us-east1, asia-east1 and europe-west1, using the gcloud command-line tool. Support for creating GPU VMs using the Cloud Console appears…
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Introducing Keras 2
Keras was released two years ago, in March 2015. It then proceeded to grow from one user to one hundred thousand.
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Street Fighter II's AI Engine
By today’s standards, the Artificial Intelligence in Street Fighter 2 World Warrior isn’t very sophisticated. These days, when most people talk about AI they’re talking about mach…
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Jeff Dean’s Lecture for YC AI [video]
Jeff Dean is a Google Senior Fellow in the Research Group, where he leads the Google Brain project. He spoke to the YC AI [https://ycombinator.wpengine.com/yc-ai/] group this summer. Here are his slides: