Maximize Precision Deep Learning The 2019 Stack Overflow Developer Survey Results Are In Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election Resultsdeep learning - how to train silhouette image?Linear Model to generate probability of each possible outputMaximize profit with loss functionHow to maximize recall?Large Numpy.Array for Multi-label Image Classification (CelebA Dataset)Deep neural networks precision on Image-Net by classDeep Learning ROC and Average Precision Curve ResultsPrevent predict_generator from shuffling data in deep learningDeep learning: Training in batchesUsing deep learning to classify similar images
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Maximize Precision Deep Learning
The 2019 Stack Overflow Developer Survey Results Are In
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election Resultsdeep learning - how to train silhouette image?Linear Model to generate probability of each possible outputMaximize profit with loss functionHow to maximize recall?Large Numpy.Array for Multi-label Image Classification (CelebA Dataset)Deep neural networks precision on Image-Net by classDeep Learning ROC and Average Precision Curve ResultsPrevent predict_generator from shuffling data in deep learningDeep learning: Training in batchesUsing deep learning to classify similar images
$begingroup$
For some binary image classification problems having close to 100% precision is super important and recall is much less important.
What are best practices for maximizing precision? Setting the probability threshold for model.predict() greater that 0.5 seems like a reasonable approach.
Are there any other recommended methods?
neural-network deep-learning keras tensorflow image-classification
asked 16 mins ago
joshvarialjoshvarial
1
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joshvarial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
For some binary image classification problems having close to 100% precision is super important and recall is much less important.
What are best practices for maximizing precision? Setting the probability threshold for model.predict() greater that 0.5 seems like a reasonable approach.
Are there any other recommended methods?
neural-network deep-learning keras tensorflow image-classification
asked 16 mins ago
joshvarialjoshvarial
1
New contributor
joshvarial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
For some binary image classification problems having close to 100% precision is super important and recall is much less important.
What are best practices for maximizing precision? Setting the probability threshold for model.predict() greater that 0.5 seems like a reasonable approach.
Are there any other recommended methods?
neural-network deep-learning keras tensorflow image-classification
asked 16 mins ago
joshvarialjoshvarial
1
New contributor
joshvarial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
For some binary image classification problems having close to 100% precision is super important and recall is much less important.
What are best practices for maximizing precision? Setting the probability threshold for model.predict() greater that 0.5 seems like a reasonable approach.
Are there any other recommended methods?
neural-network deep-learning keras tensorflow image-classification
neural-network deep-learning keras tensorflow image-classification
asked 16 mins ago
joshvarialjoshvarial
1
New contributor
joshvarial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 16 mins ago
joshvarialjoshvarial
1
New contributor
joshvarial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 16 mins ago
joshvarialjoshvarial
1
New contributor
joshvarial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 16 mins ago
joshvarialjoshvarial
1
asked 16 mins ago
joshvarialjoshvarial
1
1
New contributor
joshvarial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
joshvarial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
joshvarial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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