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~~~python
"""Convolution Neural Network with batch normalization"""
import sys
import argparse
import minpy
import minpy.numpy as np
import mxnet as mx
from minpy.nn.io import NDArrayIter
# …
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-- Building for: Visual Studio 14 2015
-- The C compiler identification is MSVC 19.0.24213.1
-- The CXX compiler identification is MSVC 19.0.24213.1
-- Check for working C compiler: F:/Program Fi…
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It would be nice if scikit-learn showed which lines are covered by unit tests in our PRs. For example, Coveralls will show your test coverage line by line.
![image](https://cloud.githubusercontent.co…
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First of all, thank you for open-sourcing for your code on GitHub. I am currently working on a big dataset (>20,000) of SPECT images. I will be doing 'TBI/PTSD/Comorbidity/Healthy' classification usin…
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The tutorial duplicates many of the examples already present.
For example now there is a color quantization example and a grey-scale quantization example.
Also, there are now three k-means examples.
…
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I want save the features of the final conV layer to training my SVM classfier . But I don't see any example of how to save these features step by step with python .
Could some one give me a example…
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I'm starting this as a catch-all for discussion about concepts that heavily overlap between disciplines. I had started to contemplate how to merge the implementation that you're developing here with …
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One of the more common/most useful use cases for arrayfire is undoubtedly machine learning using ANNs, and in fact, even the docs/examples specifically discuss artificial neural networks, and @unbornc…
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Hard crash with memory bug and rscript termination under Windows.
Example:
``` R
require(caret)
require(mboost)
require(gbm)
require(rf)
# load iris set
data(iris)
dim(iris)
# works
m
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Hello,
I've setup a simple MLP network using convolutional layers (`mx.symbol.Convolution`) instead of fully connected layers (`mx.symbol.FullyConnected`). The network definition is as follows:
```…