machine-learning

machine-learning

How does the Transformer Model Compute Self Attention?

ValueError: Only TF native optimizers are supported in Eager mode

Huge memory usage when running huggingface transformers run_language_modeling.py with GPT2

Creating and shaping data for 1D CNN

How to calculate feature_log_prob_ in the naive_bayes MultinomialNB

PPV vs Sensitivity

Can we use multiple models for object detection?

Problem with XGboost Classification & eli5 package

Python code for training Arabic spacy NER model not giving result or errors

How are the FCN heads convolved over RetinaNet's FPN features?

What do the values in model.predict() mean?

Does sklearn supports feature selection on dynamic data?

Train model to detect only 1 class label

Converting Neural Network output to classes

Logging loss while training in Flux using callbacks

how to get confusion matrix and the accuracy rate using precision and recall values?

How to improve accuracy with keras multi class classification?

Uploading and labeling pairs of photos

Imputation of missing numeric values while preserving the absence of it

confused between choosing linear or nonlinear regression to model this data

Which Should I Use RandomForest Classifier or Regressor regarding the boston housing prices dataset

Regarding prediction of Decision Tree

In KNN, why is the data the model?

Error in Octave while trying to call function: Undefined near line 1 column 1

Attention network without hidden state?

Keeping track of feature names when doing Feature Selection

Why does google vision take so much time to train the model?

Where do # of epochs and batch size belong in the hyperparameter tuning process?

NumHiddenUnits in LSTM

convolution layer as an output layer for classification problem

Why the cross validation loss is not decreasing for this model?

Text Image Combined Classification Model

Integrate the ImageDataGenerator in own customized fit_generator

Understand the output of LSTM autoencoder and use it to detect outliers in a sequence

Learning rate too large, how does this affect the loss function for logistic regression using batch gradient descent

How K-Fold Prevents overfitting in a model

Is it right to use different feature scaling techniques to different features?

Forecasting.ForecastBySsa with Multiple variables as input

Finding the closest centroids in a k means clustering

When do you use gridsearchcv vs. k-fold in sklearn?

RuntimeError: output with shape [512] doesn't match the broadcast shape [1, 512, 1, 512] while extracting feature vector using pytorch

Tackling the validation accuracy for a small validation set

non-parametric supervised learning method

Why is there an activation function in each neural net layer, and not just one in the final layer?

Accuracy and prediction Classifiers

Train Accuracy increases, Train loss is stable, Validation loss Increases, Validation Accuracy is low and increases

What modifications can I make in svmtrain of LIBSVM to improve the accuracy of my spam classifier?

Different score on cross_val_score() and accuracy_score() on sklearn

What do confidence scores mean in speech recognition?

Batch gradient descent in scikit-learn

Best Practices for Azure Machine Learning Pipelines

Predict long jump results: is this a time series forecasting problem or a regression problem?

Decision Tree Performance, ML

Getting the column names chosen after a feature selection method

Word2vec is a Generalization or memorization algorithm?

scikit-learn and imblearn: does GridSearchCV/RandomSearchCV apply preprocessing to the validation set as well?

Classification with Integers and Types

Value Error - Error when checking target - LSTM

Should I divide my time series data into frames/chunks for binary classification?

Combining neural networks with different features but same target [closed]

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