User Devashish Prasad

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?

answered Sep 24, 2021 at 0:39

2 votes

Accepted

What is difference between Validation steps and Steps per epoch?

machine-learning deep-learning

answered Jun 26, 2021 at 17:23

2 votes

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pytorch dataloader tensor modification

pytorch

answered May 29, 2021 at 11:05

2 votes

Less parameters - in general within ResNets

deep-learning neural-network cnn computer-vision

answered Jun 8, 2021 at 15:56

2 votes

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

machine-learning deep-learning convolutional-neural-network computer-vision

answered Jun 17, 2021 at 7:25

2 votes

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Training a YOLO-style object detector

cnn computer-vision object-detection yolo

answered Jun 19, 2021 at 16:00

2 votes

Accepted

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

machine-learning classification computer-vision yolo

answered Jun 19, 2021 at 17:29

1 vote

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CNN: training accuracy vs. validation accuracy

python tensorflow pytorch

answered Jun 8, 2021 at 17:30

1 vote

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Suitable instance counting CNN for training on polygonal masks

cnn semantic-segmentation

answered May 29, 2021 at 11:11

1 vote

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

machine-learning deep-learning data-science-model

answered May 31, 2021 at 7:15

1 vote

Accepted

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

keras cnn image-classification accuracy data-augmentation

answered May 29, 2021 at 5:32

1 vote

Division of data into training and validation sets

deep-learning machine-learning-model activity-recognition

answered Jun 15, 2021 at 10:32

1 vote

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scikit-learn OneHot returns tuples and not a vectors

machine-learning classification scikit-learn preprocessing one-hot-encoding

answered Sep 26, 2021 at 6:02

1 vote

Accepted

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

training cross-validation

answered Nov 26, 2021 at 19:00

1 vote

Accepted

Increase accuracy through "overfitting" multiple models?

tensorflow computer-vision object-detection

answered Nov 26, 2021 at 22:03

1 vote

Accepted

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

deep-learning machine-learning-model memory time-complexity

answered Dec 2, 2021 at 1:29

1 vote

Accepted

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

deep-learning neural-network convolutional-neural-network

answered Dec 31, 2021 at 5:15

0 votes

Estimating the uncertainty of regression models

machine-learning python deep-learning machine-learning-model azure-ml

answered Jan 2 at 16:20

0 votes

Improving Performance of Machine Learning for A Small Imbalanced Dataset

machine-learning classification class-imbalance

answered Jan 3 at 14:37

0 votes

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

nlp machine-learning-model bert

answered Nov 26, 2021 at 5:20

0 votes

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Clustering with Highly separable features

clustering feature-selection k-means

answered Nov 26, 2021 at 6:14

0 votes

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How to preprocess heavy MRI images?

python image-preprocessing image-segmentation

answered Nov 26, 2021 at 18:51

0 votes

What input for a combined model (3 nets)

neural-network pytorch classifier vgg16 multi-output

answered Jun 16, 2021 at 13:09

0 votes

Naive bayes expectation maximization vs logistic regression for binary classification

classification logistic-regression naive-bayes-classifier

answered May 29, 2021 at 10:39

0 votes

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

computer-vision distance

answered Mar 9, 2021 at 14:02

0 votes

Accepted

Dummy vectors and performance measurement for vector search Face Recognition

image-recognition embeddings vector-space-models

answered May 27, 2021 at 18:15

0 votes

Imbalanced training set vs smaller balanced training set?

machine-learning deep-learning

answered May 27, 2021 at 18:54

0 votes

Accepted

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

cnn pytorch vgg16

answered Jun 3, 2021 at 6:08

0 votes

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

neural-network cnn feature-extraction meta-learning

answered Jun 3, 2021 at 20:20

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

feature-selection encoding one-hot-encoding

answered May 30, 2021 at 19:07

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35 Answers

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?

What is difference between Validation steps and Steps per epoch?

pytorch dataloader tensor modification

Less parameters - in general within ResNets

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

Training a YOLO-style object detector

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

CNN: training accuracy vs. validation accuracy

Suitable instance counting CNN for training on polygonal masks

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

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

Division of data into training and validation sets

scikit-learn OneHot returns tuples and not a vectors

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

Increase accuracy through "overfitting" multiple models?

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

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

Estimating the uncertainty of regression models

Improving Performance of Machine Learning for A Small Imbalanced Dataset

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

Clustering with Highly separable features

How to preprocess heavy MRI images?

What input for a combined model (3 nets)

Naive bayes expectation maximization vs logistic regression for binary classification

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

Dummy vectors and performance measurement for vector search Face Recognition

Imbalanced training set vs smaller balanced training set?

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

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

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