EfficientNet Keras Source Code

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EfficientNet Keras Source Code

Use Case

EfficientNet Keras Source Code

Description

Access the EfficientNet Keras Dataset for offline use, featuring applications, full weights, and source code. Perfect for deep learning competitions and AI projects without internet access.

Description:

EfficientNet Keras Dataset: An offline mirror of the Keras EfficientNet library by @qubvel, including applications, full weights, and source code. Ideal for deep learning competitions and projects requiring offline access.

Download Dataset

The EfficientNet Keras Dataset is a comprehensive offline mirror of the Keras implementation of EfficientNet, originally developed. Designed to support deep learning workflows in scenarios where internet access is limited, this dataset ensures seamless offline installation and usage.

Key Features:

Offline Accessibility: Install the EfficientNet library offline, essential for competitive AI events and environments with restricted connectivity.
Comprehensive Collection: Includes:
- Keras Applications (PyPi wheel)
- EfficientNet Keras Full Weights
- EfficientNet Keras Source Code
Integrated Usage: Designed to work alongside the provided for streamlined integration.

Update Frequency:

The dataset is automatically updated monthly to ensure access to the latest features and weights, though the repository’s newest updates may not always be immediately reflected.

References:

Original repository
Images sourced from the EfficientNet blog post

Applications:

Deep Learning Competitions: Train state-of-the-art models without reliance on live internet.
AI Research: Access EfficientNet implementations offline for experimentation and development.

This dataset is sourced from Kaggle.