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Devashish Prasad
  • Member for 3 years, 4 months
  • Last seen more than a month ago
3 votes

I am attempting to implement k-folds cross validation in python3. What is the best way to implement this? Is it preferable to use Pandas or Numpy?

2 votes
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What is difference between Validation steps and Steps per epoch?

2 votes
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pytorch dataloader tensor modification

2 votes

Less parameters - in general within ResNets

2 votes
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Can landmark detection be only used for faces and human bodies?

2 votes
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Training a YOLO-style object detector

2 votes
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Yolov3 Tiny: What do each of the 2535 cells detect?

1 vote
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CNN: training accuracy vs. validation accuracy

1 vote
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Suitable instance counting CNN for training on polygonal masks

1 vote
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Which model is best for object detection which is trained on COCO dataset?

1 vote
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Why does adding data augmentation decrease training accuracy a tiny bit?

1 vote

Division of data into training and validation sets

1 vote
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scikit-learn OneHot returns tuples and not a vectors

1 vote
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K-Fold cross validating with random forest - how to correctly fit model to every fold?

1 vote
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Increase accuracy through "overfitting" multiple models?

1 vote
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How can I measure time and memory complexity for a deep learning model?

1 vote
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What is the intuition behind transposed conv layers being able to upscale images?

0 votes

Estimating the uncertainty of regression models

0 votes

Improving Performance of Machine Learning for A Small Imbalanced Dataset

0 votes

How to learn common sense constants? Look in body for detail

0 votes
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Clustering with Highly separable features

0 votes
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How to preprocess heavy MRI images?

0 votes

What input for a combined model (3 nets)

0 votes

Naive bayes expectation maximization vs logistic regression for binary classification

0 votes

How to estimate real distance between two detected objects in an image?

0 votes
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Dummy vectors and performance measurement for vector search Face Recognition

0 votes

Imbalanced training set vs smaller balanced training set?

0 votes
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What should the output sizing be for a class that returns multiple image arrays for a dataloader

0 votes
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How to use efficient net as feature extractor for meta/Few shot learning in PyTorch

0 votes
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Should I do one hot encoding before feature selection and how should I perform feature selection on a dataset with both categorical and numerical data