-
We should document the various classification options available within COAL. These are
* spectral angle mapper classification
* unsupervised KMeans,
* supervised Gaussian Maximum Likelihood
*…
-
Do we add them in the chapters themselves (new elements in Notion that are ignored for PDF build) or a separate page? Or just link to coding train site, hmmmmm.
-
I am using the wrapper of scikit-learn Multilayer Perceptron in Python [https://github.com/aigamedev/scikit-neuralnetwork](url) to train the neural network and save it to a file. Now, I want to expo…
-
Hey, somebody has used de training of the neural network in Android??
-
> Taxonomic assignment is the core of targeted metagenomics approaches that aims to assign sequencing reads to their corresponding taxonomy. Sequence similarity searching and machine learning (ML) are…
-
So what I was trying to achieve was to display the memory inside the neurons during the training of a `perceptron` algorithm.
@JeffAbrahamson : Is that something like that you were waiting for? An…
-
hi,
who is managing this project?
I am looking for introduction to perceptrons and or neural nets using verilog.
and enjoy ice40 opensource tools see my tutorials for verilog on ice40: https:/…
peepo updated
5 years ago
-
Spark as far as I see has perceptron with only sigmoid activation functions….
From the source code:
*Each layer has sigmoid activation function, output layer has softmax.
* Number of inputs has to …
-
Hi,I'm run the perceptron.py code,but report error. environment:python3.6
return self.activator(
reduce(lambda a, b: a + b,
map(lambda xw: xw[0] * xw[1],
…
-
I'd love to be able to build a 2 layer Network, which would be exactly like any other Network made with the constructor, but it would only have 2 layers. I need this so I can clear the context of laye…