TensorFlow
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Top Open Source Projects to Watch in 2017
No one has a crystal ball to see the future of technology. Even for projects developed out in the open, code alone can't tell us whether or not a project is destined for success—but there are hints along the way. For example, perhaps it's not unreasonable to assume that the projects that will help shape our future are those projects that have first seen rapid growth and popularity among the developer community. So which new projects should an open source developer watch in 2017? Let's take a look at a few projects that emerged in 2016 to achieve rapid notoriety in the GitHub community...
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What Is Deep Learning, and Why Should You Care About It?
Whether it's Google's headline-grabbing DeepMind AlphaGo victory, or Apple's weaving of "using deep neural network technology" into iOS 10, deep learning and artificial intelligence are all the rage these days, promising to take applications to new heights in how they interact with us mere mortals. To go deeper (yes, I went there) on the subject, I reached out to the team at the deep learning-focused company Skymind, creators of Deep Learning For Java (DL4J), and authors of the recently released O'Reilly book Deep Learning: A Practitioner's Approach, Josh Patterson and Adam Gibson...
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Why Data Scientists Love Kubernetes
Let's start with an uncontroversial point: Software developers and system operators love Kubernetes as a way to deploy and manage applications in Linux containers. Linux containers provide the foundation for reproducible builds and deployments, but Kubernetes and its ecosystem provide essential features that make containers great for running real applications...What you may not know is that Kubernetes also provides an unbeatable combination of features for working data scientists. The same features that streamline the software development workflow also support a data science workflow! To see why, let's first see what a data scientist's job looks like...
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O'Reilly Artificial Intelligence Conference
The O'Reilly AI Conference will cover all the most essential—and intriguing—topics in applied AI. You'll learn how to implement AI in your projects, uncover AI's limitations and untapped opportunities, and explore how AI will change the business landscape. And you'll meet the brightest minds in applied AI, including keynotes from Microsoft's Lili Cheng, Peter Norvig of Google, and Facebook's Yann LeCun. Urs Muller from NVIDIA will address learning for autonomous driving...
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OSCON 2017
The O'Reilly Open Source Convention (OSCON) is a conference for anyone who has a passion for open source, from developers and programmers to activists and community leaders. OSCON is designed to share real-world open source practices and ways to successfully implement open source into various projects or workflows.
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