Sakib1263/DenseNet-1D-2D-Tensorflow-Keras
Models Supported: DenseNet121, DenseNet161, DenseNet169, DenseNet201 and DenseNet264 (1D and 2D version with DEMO for Classification and Regression)
This project provides pre-built DenseNet models (versions 121, 161, 169, 201, 264) that can be easily configured for either 1D or 2D data tasks. It takes structured data, such as sensor readings or images, and outputs classifications or regression predictions. This is for machine learning practitioners and researchers who need to apply state-of-the-art deep learning models for various data analysis problems.
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Use this if you need a flexible and pre-optimized DenseNet architecture for classification or regression tasks on either sequential (1D) or image-like (2D) datasets.
Not ideal if you are looking for a completely custom neural network architecture or if your computational resources are highly limited for very deep models.
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Last pushed
Nov 25, 2021
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