/LeNet-Architecture-using-gray-scaled-images-vs-LeNet-Architecture-using-Colored-Images

-Load two common datasets -Use any needed pre-processing function to analyze dataset -Use LeNet-5 to complete the process of classification -Print LeNet-5 architecture -Print number of Trainable parameters in each layer -Print confusion matrix relative to testing samples -Print precision, recall, f1_score -Comment on your results

Primary LanguageJupyter Notebook

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