Machine Learning CNN
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Managed to design and train (curve fit) custom CNN model with less than 7K animal images for 6 animal classifications without using data augmentation methods to acheive good curve fit. This was finally achieved by only using intel cpu laptop without GPUs that took 26 mins of epochs processing time. Python Keras library was used for this project.
paul-data-science/Deep_Learning_CNN
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Managed to design and train (curve fit) custom CNN model with less than 7K animal images for 6 animal classifications without using data augmentation methods to acheive good curve fit. This was finally achieved by only using intel cpu laptop without GPUs that took 26 mins of epochs processing time. Python Keras library was used for this project.
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