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yann.lecun.com
| | questionableengineering.com
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| | John W Grun AbstractIn this paper, a manually implemented LeNet-5 convolutional NN with an Adam optimizer written in Numpy will be presented. This paper will also cover a description of the data use
| | studywolf.wordpress.com
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| | Back in September I had an review article in Science Robotics published, discussing new work from Abadia et al, 2021 titled A cerebellar-based solution to the nondeterministic time delay problem in robotic control. In my review I talk about the parallel's between the brain inspired approach Abadia et al used to create a neural circuit...
| | www.wjst.de
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| | But let your communication be Yea, yea; Nay, nay. For whatsoever is more than these cometh of evil.
| | teddykoker.com
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| A few posts back I wrote about a common parameter optimization method known as Gradient Ascent. In this post we will see how a similar method can be used to create a model that can classify data. This time, instead of using gradient ascent to maximize a reward function, we will use gradient descent to minimize a cost function. Lets start by importing all the libraries we need: