EfficientNet on Custom Dataset | Image Classification Using EfficientNet
Description:
Learn EfficientNet Practical Implementation on Custom Dataset and master how to scale Convolutional Neural Networks (CNNs) for better performance. In this tutorial, we explain EfficientNet architecture, compound scaling, and show a step-by-step implementation on your own dataset using Python.
📌 What you’ll learn:
Overview of EfficientNet and its importance in CNNs
Understanding depth, width, and resolution scaling
How compound scaling boosts accuracy efficiently
How to use pretrained EfficientNet models for custom datasets
Practical implementation using Python, TensorFlow, or PyTorch
📂 GitHub code: https://github.com/AarohiSingla/Image...
📺 Theory video: • EfficientNet Explained: Rethinking Model S...
📺 Pretrained EfficientNet tutorial: • EfficientNet Implementation | EfficientNet...
For queries or collaborations: aarohisingla1987@gmail.com
#EfficientNet #CNN #DeepLearning #AI #ArtificialIntelligence #ComputerVision #Python #TensorFlow #PyTorch #ImageClassification #ModelScaling #CompoundScaling
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