EfficientNet - Transfer Learning Implementation

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

📌 Google Colab Notebook

📌 Jupyter Notebook

Reviewing EfficientNet: Increasing the Accuracy and Robustness CNNs: EfficientNet

Model Scaling: (a) is a baseline network example; (b)-(d) are conventional scaling that only increases one dimension of network width, depth, or resolution. (e) is our proposed compound scaling method that uniformly scales all three dimensions with a fixed ratio.

The Effect of Transfer Learning on EfficientNet

:octocat: EfficientNet: Increasing the Accuracy and Robustness CNNs Transfer Learning for EfficientNet was performed on the CIFAR10 dataset in the application prepared as an attachment to the blog post.

:chocolate_bar: References:

• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

• Implementation of EfficientNet model. Keras and TensorFlow Keras

• Papers with Codes

• EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling

• How to do Transfer learning with Efficientnet

• Training EfficientNets on TPUs