machine-learning

machine-learning

Is it possible to use libsvm in cuda?

Why do Recurrent Neural networks need dataset iterators to prepare data

Machine learning: PCA for different number of features

Text mining and Machine learning [closed]

Compute similarity between n entities

Implementing Deep Learning architecture with a given dataset

Good pretrained convolutional neural network for a monochromatic image

Sklearn throws ValueError when given a sparse matrix

Counting number of label in MIT-BIH arrhythmia Database (MIT-BIH)

Which observations are associated to the topic model in LDA with sklearn package implementation

ANN regression, linear function approximation

How to combine two neural network?

One dimensional data with CNN

What is the definition of "high-capacity cnn" or "high-capacity architecture"?

Tensorflow LSTM PTB Example - Understanding forward and backward pass

Laplace Smoothing for Bernoulli model for naive bayes classifier

HDF5 data layer definition for multiple HDF5 files

Scikit-learn regressors returns all zeros for features importances, why?

Caffe loss layer, mean and accuracy

DQN on recommendation system

Machine learning algorithms for numerical sequences of variable length

What Does The MAE Actually Telling me?

What does it mean by the phrase "a machine learning algorithm learn a probability distribution"? What exactly is happening here

Use R to cluster by SOM

What algorithms can be used to build predictors from fractions of time series?

While working in Weka do the last attribute data type need to be nominal?

Increasing training examples reduces accuracy for maximum entropy classifier

Use pos tagging in bag of words

Early stopping : neural networks

How to compress class values in WEKA explorer

How to use a dataset in Neural Network training

How many layers are in this neural network?

Multiclass Decision Forest vs Random Forest

Is there a way to limit a trained Caffe model to just a set of classes?

should I add derivable features to a feature vector?

Create a model that predicts an event based on other time series events and properties of an object

Input of LSTM seq2seq network - Tensorflow

What approach to use on sentence classifier? - distant supervision

Spare autoencoders in tensorflow

Does Bishop's book imply that a unit neuron feed to itself in backpropagation?

Are Convolution Kernels Predefined or Does a CNN Define them During Training

How to use a fixed validation set (not K-fold cross validation) in Scikit-learn for a decision tree classifier/random forest classifier?

Is there a need to normalise input vector for prediction in SVM?

Tensorflow shuffle batch fraction unexpected behavior

how to fine-tune word2vec when training our CNN for text classification?

Training loss and validation loss in convolutional auto encoder is not decreasing much

What machine learning algorithms supported with spark mllib and does not supported with mahout and vise versa?

Q-learning with 2D actions and 2D states

How to reverse a shape in Keras for LSTM input

Tensorflow Are All Variables Trained?

Waveform Comparison

How many kinds of criterion to measure which feature distinguish the label better?

Combine N-gram model with Bag of Word approach

Estimating nlp neural net training data set size

How to use principal component analysis (PCA) to speed up detection?

How do I to prevent backward computation in specific layers in caffe

Reward function with a neural network approximated Q-function

Unable to open Tensorboard in browser

How do I choose training data set for job recommendation using linear regression model?

Add data to retrained Inception net

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