Sakib1263/Inception-InceptionResNet-SEInception-SEInceptionResNet-1D-2D-Tensorflow-Keras
Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)
This project helps machine learning engineers build and experiment with various Inception and Inception-ResNet neural network architectures for classification and regression tasks. You provide your 1D or 2D dataset and configure the model parameters, and it outputs a trained model capable of making predictions. This is for machine learning practitioners and researchers who need to implement or customize these specific deep learning models.
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Use this if you are a machine learning engineer working with TensorFlow/Keras and need to quickly implement or customize Inception-based deep learning models for either 1D sequence data or 2D image data.
Not ideal if you are a beginner in deep learning or do not use TensorFlow/Keras, as it requires familiarity with model building within this framework.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 09, 2022
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