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New posts in machine-learning

How can I use one-hot encoded labels with some sklearn classifiers?

machine-learning scikit-learn

Query regarding vector transpose in hypothesis function (Stanford Machine Learning Video Lecture 2)

math machine-learning matrix vector

Why is it in Pytorch when I make a COPY of a network's weight it would be automatically updated after back-propagation?

python machine-learning pytorch backpropagation

Keras / NN - Handling NaN, missing input

python machine-learning keras neural-network

Wild discrepancies between training DeepLab ResNet V3 on Google Colab versus on local machine

python machine-learning pytorch google-colaboratory deeplab

statsmodels raises TypeError: ufunc 'isfinite' not supported for the input types

python machine-learning statsmodels sklearn-pandas

Do you have to pickle scaler & ML model for deployment?

python machine-learning scikit-learn

fastai show_batch and show_results does nothing

machine-learning deep-learning fast-ai image-classification

Why would a neural networks validation loss and accuracy fluctuate at first?

machine-learning neural-network

Keras fit model: TypeError: unhashable type: 'numpy.ndarray'

python numpy machine-learning keras lstm

xgboost issue with multi:softprob -- label size predict size not match

python machine-learning xgboost

Keras: Does model.predict() require normalized data if I train the model with normalized data?

python tensorflow machine-learning keras scikit-learn

Why is the decoder in an autoencoder uses a sigmoid on the last layer?

machine-learning neural-network pytorch autoencoder sigmoid

How to get the outline of the image detected (using cnn object detection) rather than rectangular box around it?

machine-learning

How to calculate maximum gradient for each layer given a mini-batch

python tensorflow machine-learning keras sgd

Stochastic Gradient Descent(SGD) vs Mini-batch size 1

machine-learning neural-network gradient-descent stochastic mini-batch

Keras: Big one-hot-encoding: binary_crossentropy or categorical_crossentropy

python machine-learning keras neural-network deep-learning

Is there any module for Non_Linear Logistic regression in Python sklearn?

python machine-learning scikit-learn logistic-regression

Scikit-learn - user-defined weights function for KNeighborsClassifier

machine-learning scikit-learn nearest-neighbor
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