Archives for google brain - Page 2

11 Mar

Can We Judge An ML Model Just From Weights

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image-10663

Any machine learning solution comes with two primary challenges — accuracy and training time. There is always a trade-off between these two. There are places where you can’t trade accuracy, such as in the case of self-driving cars. That’s why we don’t see these cars on the road yet as the engineers are training the…

The post Can We Judge An ML Model Just From Weights appeared first on Analytics India Magazine.

05 Mar

What Happens When A Java Developer Switches To A Data Science Role

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image-10561

Does democratisation of machine learning work for everyone or is there a flip side to it? What do the developers with no machine learning background think about it?  Ever since AI-based jobs have been crowned the hottest job of this decade, there has been a rush amongst across many industries to transition into an ML…

The post What Happens When A Java Developer Switches To A Data Science Role appeared first on Analytics India Magazine.

01 Oct

Can Your Robot Flip A Coin? Deep Dynamic Models Are Now Improving Robotic Dexterity

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image-7417

Have you ever thought how good you are at opening the lid of a pickle jar? There is no denying that this trivial task doesn’t top the list of things humans can do with their hand with opposable thumbs. However, it still is a complicated task. The degrees of freedom of each finger comes into…

The post Can Your Robot Flip A Coin? Deep Dynamic Models Are Now Improving Robotic Dexterity appeared first on Analytics India Magazine.

09 Sep

10 Exciting Papers To Look Out For At The NeurIPS Conference

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image-6986

  The 33rd annual conference on Neural Information Processing Systems (NeurIPS) is going to be held at Vancouver Convention Center, Vancouver, Canada from December 8th to 14th, 2019. The primary focus of the Foundation is the presentation of a continuing series of professional meetings known as the Neural Information Processing Systems Conference, held over the…

The post 10 Exciting Papers To Look Out For At The NeurIPS Conference appeared first on Analytics India Magazine.

29 Aug

Dealing With Noisy Data? Improve On Logistic Loss First

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image-6773

The ability of an ML model to deal with noisy training data depends in great part on the loss function used in the training process. For classification tasks, the standard loss function used for training is the logistic loss. The logistic loss, also known as the softmax loss, has been the standard choice in training…

The post Dealing With Noisy Data? Improve On Logistic Loss First appeared first on Analytics India Magazine.

19 Jun

Can Neural Networks Function Without Learning Any Weight Parameters?

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image-5208

An Antarctic eelpout swims gracefully in cold dark depths without freezing its internal juices. It does this with the help of anti-freezing proteins (AFPs) which are by-products of million mutations over millions of years of evolution. The 3D structure of AFPs allows them to bind to ice crystals and prevent organisms from freezing by forming…

The post Can Neural Networks Function Without Learning Any Weight Parameters? appeared first on Analytics India Magazine.

17 Jan

Understanding AI: Google Brain Scientist Been Kim Is Developing An AI Translator

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image-2087

As human beings, we need a reason for each and everything that we do. But what can we do about that as we all are programmed to understand the mechanics behind everything that we possibly can? Explaining the phenomenon in a similar way, a research scientist at Google Brain, Been Kim, gives a thumbs up…

The post Understanding AI: Google Brain Scientist Been Kim Is Developing An AI Translator appeared first on Analytics India Magazine.

31 Dec

Why Business Leader Should Take Andrew Ng’s Non Technical AI Course, “AI For Everyone”

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image-1735

Artificial Intelligence courses have been largely made and delivered for technical people. The people taking such courses mostly have a background in mathematics and/or programming. Many engineers, researchers and scientists who had a numerical background made use of the courses for advancing the career. The popular course simply called “Machine Learning” offered by Stanford University…

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