[A version of this post appears on the O’Reilly Radar.] Putting deep learning into practice with new tools, frameworks, and future developments. Deep learning has made tremendous advances in the past year. Though managers are aware of what’s been happening in the research world, we’re still in the early days of putting that research intoContinue reading “Use deep learning on data you already have”
Tag Archives: deep learning
How big compute is powering the deep learning rocketship
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Greg Diamos on building computer systems for deep learning and AI. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. SpecialistsContinue reading “How big compute is powering the deep learning rocketship”
Why businesses should pay attention to deep learning
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Christopher Nguyen on the early days of Apache Spark, deep learning for time-series and transactional data, innovation in China, and AI. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, andContinue reading “Why businesses should pay attention to deep learning”
The importance of emotion in AI systems
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Rana el Kaliouby on deep learning, emotion detection, and user engagement in an attention economy. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn,Continue reading “The importance of emotion in AI systems”
Commercial speech recognition systems in the age of big data and deep learning
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Yishay Carmiel on applications of deep learning in text and speech. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. InContinue reading “Commercial speech recognition systems in the age of big data and deep learning”
Building intelligent applications with deep learning and TensorFlow
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Rajat Monga on the current state of TensorFlow and training large-scale deep neural networks. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Building intelligent applications with deep learning and TensorFlow”
Don’t overlook simpler techniques and algorithms
Even in areas and domains where deep learning excels, simpler approaches are worth examining. A while back I noted that there are several considerations when evaluating machine learning models: Accuracy is the main objective and a lot of effort goes towards raising it. But in practice tradeoffs have to be made, and other considerations playContinue reading “Don’t overlook simpler techniques and algorithms”
Hardcore Data Science, California 2016
Ben Recht and I organized another great edition of Hardcore Data Science in San Jose today. As I was preparing to host the track, I had an inkling we had another outstanding sequence of presentations. The day covered hot topics like deep neural networks, practical advice on how to do data science & machine learningContinue reading “Hardcore Data Science, California 2016”
Compressed representations in the age of big data
[A version of this post appears on the O’Reilly Radar.] Emerging trends in intelligent mobile applications and distributed computing When developing intelligent, real-time applications, one often has access to a data platform that can wade through and unlock patterns in massive data sets. The back-end infrastructure for such applications often relies on distributed, fault-tolerant, scaleoutContinue reading “Compressed representations in the age of big data”
Deep Learning for Hackers
How do you get started using Deep Learning? In a previous post, I noted how many of the tools and best practices are locked away in “oral traditions” shared among practitioners. But recently, open source tools have made Deep Learning somewhat more accessible to hackers. In an upcoming webcast, I’m hosting noted hacker and startupContinue reading “Deep Learning for Hackers”