machine-learning

machine-learning

K-Medoids Cluster Analysis

Why is binary_crossentropy more accurate than categorical_crossentropy for multiclass classification in Keras?

How does keras(or any other ML framework) calculate the gradient of a lambda function layer for backpropagation?

Time Series DFT Signals Clustering

Using custom filters generated from KMeans as the first set of filters in Keras CNN

tensorflow conv2d unexpected convolution result

Tensorflow: low loss resulting in low accuracy

Fully Connected Layer Followed by LSTM Layer

NVIDIA DIGITS - Multiple Input layers

Feeding image into tensorflow

Multiple neural networks with one output each or one with multiple outputs?

Machine Learning, GA + BP or GA with huge NN?

Plotting rules as a tree for Cubist package in R

What is the role of probability in machine learning software? [closed]

Are NN Classification Outputs Probabilities?

Text classification algorithms which are not Naive?

MS Luis.ai | Maximum number of utterances per intent/app

Tensorflow: LSTM when each part of a sequence belongs to a class?

Categorize customer questions based on content

Supervised text scoring

What are the algorithms which could be sued to match sentences? [closed]

Wouldn't setting the first derivative of Cost function J to 0 gives the exact Theta values that minimize the cost?

Incorporating Transition Probabilities in SARSA

How does dual representation relate to support vectors?

Is log loss in XGBoost and Sklearn the same?

What does "sparse" mean in the context of neural nets?

Need help to figure out an approach to cluster data that I have

Data Augmentation for Object Detection using Deep Learning

How does Caffe determine test set accuracy?

Transposed convolution on feature maps using Theano

Is it possible to use KDTree with cosine similarity?

Minibatching in Stochastic Gradient Descent and in Q-Learning

GBM handling factor variables, worried about too many factors

Naive Bays classifier: output percentage is too low

Convergence and regularization in linear regression classifier

How tensorflow use back propagation in training the model?

Implementation of backpropagation algorithm

What is learned in convolutional network

Pretraining error increases in each epoch in Deep Belief Network

How does scikitlearn implement line search?

How is Growing Neural Gas used for clustering?

AttributeError in fit_transform(self, raw_documents, y)

Perceptron learning algorithm [closed]

Encog Backpropagation Error not changing

How to write a multidimentional regression predictor using an RNN in tensorflow 0.11

Minibatch SGD gradient computation- average or sum

additive Gaussian noise in Tensorflow

What to do if response (or label) columns are in another data frame?

Change the output layer of AlexNet/GoogleNet/ImageNet?

gen_word2vec in tensorflow is not found

Weka probability distribution in classifier

nerual networks: gpu vs no-gpu

keras stuck during optimization

LibSVM - Multi class classification with unbalanced data

Better use of Regularization

what does that mean "vector augmented to 1"?

what software can learn the best structure of a neural network?

How to do data exploration before choosing any Machine Learning algorithms [closed]

XNOR comparing with XOR Artificial Neural Network

Tensorflow Image Shape Error

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