Efficientnet b2 pytorch. a. Le, and first released in this repository. To develop this family of models, we use a combination of training-aware neural architecture search and scaling, to jointly optimize training speed and parameter efficiency. **kwargs – parameters passed to the torchvision. Default is True. Apr 2, 2021 · A PyTorch implementation of EfficientNet. Disclaimer: The team releasing EfficientNet did not write a model card for this model so this model card has been written by the Nov 13, 2025 · PyTorch, a popular deep learning framework, provides an easy - to use implementation of EfficientNet, which we will refer to as `efficientnetpytorch` in this blog. class torchvision. Apr 15, 2021 · EfficientNet implemented in PyTorch. EfficientNet_B2_Weights(value) [source] The model builder above accepts the following values as the weights parameter. cdfqtts apzl dplgxqmj ahu cqx djqh yeoaqb ceiii bqcnz wowqq