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
En esta página del sitio puede ver el video en línea EfficientNet on Custom Dataset | Image Classification Using EfficientNet de Duración hora minuto segunda en buena calidad , que subió el usuario Code With Aarohi 25 agosto 2021, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 40,920 veces y le gustó 713 a los espectadores. Disfruta viendo!