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New posts in machine-learning

Denormalization of predicted data in neural networks

Tensorflow minimise with respect to only some elements of a variable

Python - A way to learn and detect text patterns?

How to discover new classes in a classification machine learning algorithm?

Neural network bias for each neuron

What does it mean when train and validation loss diverge from epoch 1?

Should RNN attention weights over variable length sequences be re-normalized to "mask" the effects of zero-padding?

Can a model have both high bias and high variance? Overfitting and Underfitting?

How does sp_randint work?

How to register a custom gradient for a operation composed of tf operations

Keras - how to get unnormalized logits instead of probabilities

Why is the Mean Average Percentage Error(mape) extremely high?

Extract text information from PDF files with different layouts - machine learning

Subtract mean from image

SkLearn Multinomial NB: Most Informative Features

Tensorflow Object Detection API

How to achieve stratified K fold splitting for arbitrary number of categorical variables?

What does "shuffle" do in fit_generator in keras?

Are there programs that iteratively write new programs?

Simple example using BernoulliNB (naive bayes classifier) scikit-learn in python - cannot explain classification