Sakib1263/MobileNet-1D-2D-Tensorflow-Keras
Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)
This is a collection of MobileNet models (V1, V2, V3_Small, V3_Large) designed for tasks where you need to classify or predict outcomes based on data. You provide numerical data, either as sequences (1D) or images/grids (2D), and it gives you a classification label or a predicted numerical value. This is for machine learning practitioners and data scientists building efficient predictive models.
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Use this if you are developing machine learning applications and need to integrate pre-built, efficient convolutional neural network architectures for classification or regression tasks, especially on resource-constrained devices or when model size is a concern.
Not ideal if you are looking for a complete end-to-end solution for a specific domain problem rather than a set of foundational deep learning models.
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Apache-2.0
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Last pushed
Oct 04, 2021
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