EfficientNet PyTorch

• by user1
• 04 March, 2022

Pre-trained EfficientNet models (B0-B7) for PyTorch

Tagscomputer science, classification, deep learning, cnn, multiclass classification

Recently new ConvNets architectures have been proposed in “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks” paper. According to the paper, model’s compound scaling starting from a ‘good’ baseline provides an network that achieves state-of-the-art on ImageNet, while being 8.4x smaller and 6.1x faster on inference than the best existing ConvNet.

Pretrained weights from lukemelas/EfficientNet-PyTorch repository

Size: 704802 KB Price: Free Author: Henrique Mendonça Data source: kaggle.com