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https://www.atlantis-press.com/proceedings/icai3s-23/125997481
EfficientNet B0-Based RLDA for Beef and Pork Image Classification | Atlantis Press
This study employs a novel approach to enhance the classification of beef and pork images using EfficientNet B0 as a feature extractor and Regularized Linear...
image classificationefficientnetbasedrldabeef
https://www.aicrowd.com/showcase/baseline-efficientnet-b0-224
AIcrowd | BaseLine EfficientNet B0 224 | Posts
Crowdsourcing AI to solve real-world problems
aicrowdbaselineefficientnetposts
https://aws.amazon.com/marketplace/pp/prodview-ucei3vyp4lkpu
AWS Marketplace: EfficientNet B7
This is a Image Classification model from TensorFlow Hub
aws marketplaceefficientnet
https://aws.amazon.com/marketplace/pp/prodview-75yg3tb6x7sau
AWS Marketplace: EfficientNet B0
This is a Image Classification model from TensorFlow Hub
aws marketplaceefficientnet
https://www.aicrowd.com/showcase/f1-speed-recognition-using-efficientnet-b3
AIcrowd | F1 speed recognition using EfficientNet-b3 | Posts
Crowdsourcing AI to solve real-world problems
aicrowdspeedrecognitionusingefficientnet
https://www.graphcore.ai/posts/accelerating-computer-vision-how-we-scaled-efficientnet-to-ipu-pod-supercomputing-systems
Accelerating Computer Vision: scaling EfficientNet to large IPU-Pod Systems
Graphcore Research demonstrate faster image processing at scale, accelerating EfficientNet on hyperscale IPU-POD systems in under 2 hours.
computer visionpod systemsacceleratingscalingefficientnet
https://www.tensorflow.org/versions/r2.12/api_docs/python/tf/keras/applications/efficientnet_v2/preprocess_input
tf.keras.applications.efficientnet_v2.preprocess_input | TensorFlow v2.12.1
A placeholder method for backward compatibility.
tfkerasapplicationsefficientnetpreprocess