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New posts in machine-learning

Plot decision tree in R (Caret)

r machine-learning plot decision-tree r-caret

Should I avoid to use L2 regularization in conjuntion with RMSProp?

machine-learning neural-network backpropagation

how to predict my own image using cnn in keras after training on MNIST dataset

python machine-learning neural-network keras conv-neural-network

How to use `log_loss` in `GridSearchCV` with multi-class labels in Scikit-Learn (sklearn)?

python optimization machine-learning scikit-learn grid-search

Which algorithm is used in google's tesseract-OCR for Recognition?

machine-learning ocr tesseract

Keras: model accuracy drops after reaching 99 percent accuracy and loss 0.01

python machine-learning neural-network deep-learning keras

Whether Data augmentation really needed in Machine Learning [closed]

machine-learning tensorflow conv-neural-network

Approximating sine function with Neural Network and ReLU

python machine-learning neural-network regression keras

'Shuffle' is claimed to be an invalid parameter for model_selection.train_test_split

python-3.x machine-learning scikit-learn

Training in batches but testing individual data item in Tensorflow?

python machine-learning tensorflow neural-network conv-neural-network

what is the score in plot_learning_curve of scikit learn?

machine-learning scikit-learn

How to properly feed specific tensor to keras model

machine-learning tensorflow deep-learning keras

Imbalanced Dataset Using Keras

python machine-learning neural-network keras

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

machine-learning neural-network deep-learning artificial-intelligence conv-neural-network

How to get summary information on tensorflow RNN

tensorflow machine-learning neural-network recurrent-neural-network tensorboard

How to feed sound as input to neural networks? [closed]

python tensorflow machine-learning neural-network signal-processing

kmeans clustering in grouped data

r machine-learning dplyr k-means

Keras - method on_batch_end is slow but only callback I have is checkpoint

python tensorflow machine-learning callback keras

Why is my decision tree creating a split that doesn't actually divide the samples?

python python-3.x machine-learning scikit-learn decision-tree

How to handle One-Hot Encoding in production environment when number of features in Training and Test are different?

python machine-learning feature-selection one-hot-encoding
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