machine-learning

machine-learning

Sklearn MultinomialNB gives 1 probability for some class for few examples?

Using neural networks for classification in Hierarchical data

Continuous or categorical data in data science

Can caffe reshape layer do transpose

How to overcome overfitting in CNN - standard methods don't work

python onehotencoding or labelencoding for category variable with 2 levels?

Multiclass classification for n classes with number of output neurons = ceiling of log2 (n)

Any reason not to use oversampling and undersampling together?

How to pre processed the nominal data attributes in data mining? [closed]

Adding new features to the output of Flatten() layer in Keras

Seq2Seq with Keras understanding

Why is cross validation used in decision tree classification?

Problems with PyTorch MLP when training the MNIST dataset retrieved from Keras

SIFT features and classification of images?

Extracting Features from the image manually

keras combine pretrained model

Partially connect convolution layers in CNN

low accuracy in neural network with caffe

Xavier and he_normal initialization difference

Multi task learning in Keras

What does util.generic_utils.deserialize_keras_object() function in keras do

Custom (convolutional) connections between two Keras layers

PCA making my image garbage

Backpropagation with Lots of Inputs

How can we use the dependency parser output to text embeddings? or Feature extractions from text?

Can feature in machine-learning be matrix?

Train a Caffe CNN with Scale Parameter

Knowledge from Past Experiences in Q-Learning

Output additional attributes WEKA 3.8

Keras model with multiple outputs not converging

Text Classification with scikit-learn: how to get a new document's representation from a pickle model

Deep learning: parameter selection and result interpretation [closed]

Naming conventions for neural networks

Feature engineering gaussian distributed input

Number of neurons in input layer for Feedforward neural network

Is location-dependent convolution filter possible in PyTorch or TensorFlow?

Why word2vec doesn't use regularization?

Imbalanced classification: order of oversampling vs. scaling features?

How to use two loss functions for a single model in keras?

What is the difference between loss function and metric in Keras? [duplicate]

Why does VGG19 subtract the mean RGB values of inputs?

Total weight of inputs to a neuron in ANN

Gensim Doc2Vec.infer_vector() equivalent in KeyedVector

Binary Image Classification with CNN - best practices for choosing "negative" dataset? [closed]

How To Determine the 'filter' Parameter in the Keras Conv2D Function

Weka logistic classifier unavaliable

How to generate ROC Curve with cross validation using SGD classifier loss=hinge

What's the difference between LSTM() and LSTMCell()?

Can Keras ImageDataGenerator transform label points (x,y) accordinlgy to performed augmentation?

Why should we normalize data for deep learning in Keras?

Text generation: character prediction RNN vs. word prediction RNN [closed]

Why the hypothesis has to introduce two parameters, namely θ0 and θ1

Gensim word embedding training with initial values

Is weight initialization different for dense and convolutional layers?

Number of backprops as performance metric for neural networks

How to design an inpute matrix for binary classification in Keras

why is SVM a "black box" learning algorithm?

Interpretation of prelu weights

How to reorder some rows in specfic orders in pandas python

k-medoids How are new centroids picked?

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