Deep learning library for Java that wants to be the “Red Hat of deep learning”. Startup which took a $3 million seed in Fall of 2016.

They’ll up-sell you to use their cloud once you build your app on their platform. Acquired by Intel in August of last year for $350 million. The “world’s fastest deep learning framework”. World’s leading deep learning platform used by 80,000 data scientists in 9,000 organizations. If you want to see lots of cool examples of what can be done with scikit, just click here. Originally developed by academics at NYU.Ī Python library that allows you to evaluate mathematical expressions involving multi-dimensional arrays. Computing framework for machine learning and computer vision. Supported by grants from Nvidia and Amazon. Caffe can process over 60 million images per day with a single NVIDIA GPU. Google’s ability to promote their machine learning framework and fund it ensures that adoption is going nowhere but up. Nobody has ever been fired for choosing Tensorflow. If you’re in a hurry to get your unicorn off the ground and you don’t have the time to read the rest of this article, here are all the open source AI tools we’re going to talk about along with our own insightful commentary provided by one of our on-staff MBAs: Name They’ll likely be a whole lot smarter than you, but don’t worry. What open source means is that the software is free to use and you’ll be joining an entire community of people who are developing on the platform just like you. Most likely you’ll want to use an “open source” platform that you can download now and get the ball rolling. These days you’re not going to reinvent the wheel but rather use an existing platform to develop your solution on. You need to decide which machine learning software you should use. The third one is really the meat of the problem you’re facing. You can just buy some hardware from the market leader in AI hardware – Nvidia. After all those classes on leadership, you’re oozing with the charisma it takes to attract the best talent on offer. What don’t you know how to do? At the very least, you should understand something about managing people now. You’re going to need to move fast, and your future baby unicorn is going to require three basic things: If you do decide to build your own AI software startup, you will be joining the likes of +1,500 other artificial intelligence startups out there that have already thrown their hats into the ring. So you just received your MBA and now you’re thinking about starting an artificial intelligence (AI) software startup.

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