This paper was presented in the International Conference on Machine Learning, 2019. Le of Google Research, Brain team in their research paper ‘EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks’. EfficientNetĮfficientNet model was proposed by Mingxing Tan and Quoc V. Finally, we will evaluate its performance and compare it with other popular transfer learning models. First, we will discuss its architecture and working then we will implement this model as a t ransfer learning framework in classifying CIFAR-10 images. In this article, we will discuss the EfficientNet model with its implementation. EfficientNet is one of these variants of the Convolutional Neural Network. With the varying architectures, these models have shown an overwhelming performance in a number of computer vision applications. There are a variety of convolutional neural networks and all have their own advantage.
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