{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/9"}],"enrichment":{"capability":"Provides Keras and TensorFlow Keras implementations of EfficientNet, a family of lightweight convolutional neural networks (B0\u2013B7) with pre-trained ImageNet weights for transfer learning and inference.","skillfed_tags":["transfer-learning","image-classification","pre-trained-models"],"use_cases":["Load a pre-trained EfficientNet model for immediate image classification on new images without retraining.","Use EfficientNet as a feature extractor backbone for transfer learning on custom image datasets.","Compare model variants (B0\u2013B7) to balance accuracy and inference speed for deployment constraints.","Fine-tune a pre-trained EfficientNet on domain-specific images with limited labeled data.","Benchmark model efficiency: parameter count and FLOPS against other architectures like ResNet."],"what_it_does":"EfficientNet is a family of convolutional neural network architectures (B0 through B7) designed to achieve high ImageNet accuracy with significantly fewer parameters and computational cost than competing models. This package provides Keras and TensorFlow Keras implementations with pre-trained weights, allowing you to load a model and use it immediately for image classification, transfer learning, or as a backbone for custom tasks.\n\nThe package depends on keras-applications for model utilities and scikit-image for image processing. It supports both standalone Keras and TensorFlow's integrated Keras API. Models can be initialized with ImageNet weights or noisy-student weights; the description notes a major update on 24 July 2019 that unified support across both frameworks, though models trained before that date require version 0.0.4.","worth_installing":"Yes, if you need a pre-trained EfficientNet for Keras/TensorFlow and are working with compatible framework versions. The low install friction and permissive license make it straightforward to add. However, the package is dormant (last release September 2020, last commit January 2024), so verify compatibility with your current Keras/TensorFlow versions before committing to production use. For active maintenance and broader framework support, consider alternatives that are actively maintained."},"id":"efficientnet","links":{"html":"https://skillfed.io/packages/efficientnet","md":"https://skillfed.io/packages/efficientnet.md","pypi":"https://pypi.org/project/efficientnet/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2020-09-15","license_spdx":null,"license_treatment":"permissive","name":"efficientnet","python_support":"supports_current","summary":"EfficientNet model re-implementation. Keras and TensorFlow Keras."},"popularity":{"monthly_downloads":138661,"position":11322,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.1.1"}