titu1994/DenseNet
DenseNet implementation in Keras
This project offers a highly efficient way to build advanced image classification systems. It takes raw image data and outputs precise classifications, helping engineers and researchers develop state-of-the-art computer vision applications. Users can quickly implement powerful deep learning models for tasks like object recognition or medical image analysis.
709 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher looking to implement a high-performing DenseNet model for image classification, with options for pre-trained weights on ImageNet.
Not ideal if you are not familiar with deep learning frameworks like Keras, as this is a developer-focused tool for building models.
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Python
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MIT
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Last pushed
Jun 10, 2020
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