/Hyperparameter-tuning-for-CNN

Tuning CNN Hyperparmeterts - Batch size - Number of epochs - learning rate - Dropout Regularization rate% - using Gridsearch with sk-learn,keras,tf to detect optimal hyperparameters for object detection problem in MNISt fashion dataset.

Primary LanguageJupyter Notebook

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