Is there any Support Vector Machine library already implemented which I could use in my C# projects?
I am using Orange Datamining to train a model on the Iris data set. I used the stochastic gradient descent node to do the training and I am looking to extract t
As known nVidia DetectNet - CNN (convolutional neural network) for object detection is based on approach from Yolo/DenseBox: https://devblogs.nvidia.com/paralle
Importing libraries import matplotlib.pyplot as plt import seaborn as sns import keras from keras.layers import * from keras.models import * from sklearn.metric
I am trying to train the following CNN as follows, but I keep getting the same error regarding .cuda() and I am not sure how to fix it. Here is a chunk of my co
I am using scikit-learn to implement the Dirichlet Process Gaussian Mixture Model: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/mixture/dp
I am trying to code a multilayer perceptron in scikit learn 0.18dev using MLPClassifier. I have used the solver lbgfs, however it gives me the warning : Converg
I have a binary image of words as shown, and I want crop the image with each character in different image. Output should have different images of k,7,2,f,5 &am
My understanding of "an infinite mixture model with the Dirichlet Process as a prior distribution on the number of clusters" is that the number of clusters is d
I am plotting a confusion matrix for a multiple labelled data, where labels look like: label1: 1, 0, 0, 0 label2: 0, 1, 0, 0 label3: 0, 0, 1, 0
I currently have a regression model that tries to predict a value based on 25 other ones. Here is the code I currently gave import tensorflow as tf import n
I am trying to optimize a logistic regression function in scikit-learn by using a cross-validated grid parameter search, but I can't seem to implement it. It
I am performing a grid search to identify the best SVM parameters. I am using ipython and sklearn. The code is slow and runs on only one core. How can this be s