EfficientNet - Transfer Learning Implementation

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

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📌 Google Colab Notebook

📌 Jupyter Notebook

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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.

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The Effect of Transfer Learning on EfficientNet

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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.

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🍫 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