This model classifies images of handwritten numbers in the MNIST dataset. It was done by providing respective prompts to ChatGPT which used a CNN model to evaluate the results using sparse categorical cross entropy as loss function and adam optimizer along with using 20% of training set as a validation set and generating a confusion matrix
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This model classifies images of handwritten numbers in the MNIST dataset. It was done by providing respective prompts to ChatGPT which used a CNN model to evaluate the results using sparse categorical cross entropy as loss function and adam optimizer along with using 20% of training set as a validation set and generating a confusion matrix
japatpreetsingh/Img_classification_chatgpt
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This model classifies images of handwritten numbers in the MNIST dataset. It was done by providing respective prompts to ChatGPT which used a CNN model to evaluate the results using sparse categorical cross entropy as loss function and adam optimizer along with using 20% of training set as a validation set and generating a confusion matrix
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