|
You are here |
brickexperimentchannel.wordpress.com | ||
| | | | |
www.v7labs.com
|
|
| | | | | A neural network activation function is a function that is applied to the output of a neuron. Learn about different types of activation functions and how they work. | |
| | | | |
zserge.com
|
|
| | | | | Neural network and deep learning introduction for those who skipped the math class but wants to follow the trend | |
| | | | |
blog.owulveryck.info
|
|
| | | | | You may know how enthusiast I am about machine learning. A while ago I discovered recurrent neural networks. I have read that this 'tool' allow to predict the future! Is this a kind of magic? I have read a lot of stuffs about the 'unreasonable effectiveness' of this mechanism. The litteracy that gives deep explanation exists and is excellent. There is also plehtora of examples, but most of them are using python and a calcul framework. To fully undestand how things work (as I am not a data-scientist), I needed to write my own tool 'from scratch'. This is what this post is about: a more-or-less 'from scratch' implementation of a RNN in go that can be used to applied to a lot of examples | |
| | | | |
emilysincerely.wordpress.com
|
|
| | | 1 post published by Sincerely, Emily on July 18, 2012 | ||