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We created sequential CNN model with 2 layer and after 5 rounds of training with 64 sets of data in each step we got accuracy of 99% which is pretty good for 2 layer CNN The accuracy of the model during training reached 99.38%, and the test data set reached 99.10% At each iteration the accuracy was increasing and loss was seen to be reduced marginally

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cnn deep-neural-networks feature-extraction image-processing object-detection pandas python tensorflow

tmnist-digits-identification's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m Sanket Sanap
  • ๐Ÿ‘€ Iโ€™m interested in Big Data, Data Science, Data Engineering and Cloud applications
  • ๐ŸŒฑ Pursuing Master of Science in Data Architecture and Management
  • ๐Ÿ“ซ Reach me at [email protected]

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