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Ricardo Marques
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:D
Lol!!! I agree! 😂😂😂😂
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Neural Networks are used in an increasingly wide variety of Machine Learning tasks, and are often trained by calculating the rate at which the output changes with respect to the weights given to the various inputs. This is then used to update the weights to improve the network. While this may sound fairly straightforward, the process can quickly become computationally expensive if the neural network has many layers with millions of inputs! 

A key algorithm that makes this training possible is backpropagation, short for “backward propagation of errors.” For modern neural networks, backpropagation can make training with gradient descent as much as ten million times faster.

For a great description of exactly how this works, head over to a blog written by Google intern +Christopher Olah, who gives a thorough and intuitive description of backpropagation, and why it’s “an essential trick to have in your bag, not only in deep learning, but in a wide variety of numerical computing situations.”

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New 2014 satellite-based data released by +Global Forest Watch, the University of Maryland and Google, show over 18 million hectares of tree cover loss globally. This 2014 data represents the most up-to-date estimate of global tree cover change available today. http://bit.ly/1Ukhk1q

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Yes please!!! Steam changing markets... :p #tweet  
Woohoo!  I've recently purchased a laptop and made it my first computer that I didn't dual boot; -> only has Linux.  I hope this trend of game engine ports continues.

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App alert. #seemslegit on so many levels. 
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