# machine-learning (714)

- Custom combined hinge/kb-divergence loss function in siamese-net fails to generate meaningful speaker-embeddings
- Increasing cost for linear regression
- Keras Dense layer's input is not flattened
- Tensorflow Estimator: Cache bottlenecks
- LabelPropagation-How to avoid division by zero?
- Why is TensorFlow's `tf.data` package slowing down my code?
- Plot Interactive Decision Tree in Jupyter Notebook
- module 'pandas' has no attribute 'rolling_mean'
- How to understand RandomForestExplainer output(R package)
- Is there a better way to guess possible unknown variables without brute force than I am doing? Machine learning?
- Lime vs TreeInterpreter for interpreting decision tree
- Perceptron learning algorithm doesn't work
- Soft margin in linear support vector machine using python
- What function defines accuracy in Keras when the loss is mean squared error(MSE)?
- Google Colaboratory: misleading information about its GPU(only 5% RAM available to some users)
- What is the difference between loss function and metric in Keras?
- Scikit Learn OneHotEncoder fit and transform Error: ValueError: X has different shape than during fitting
- Keras LSTM predicted timeseries squashed and shifted
- ValueError: Error when checking target: expected model_2 to have shape(None, 252, 252, 1) but got array with shape(300, 128, 128, 3)
- Loss & accuracy-Are these reasonable learning curves?