\nComputer Learning to See and Detect Numbers using CNN\n
\n\nThis notebook represents an introductory approach for solving image classification problem. \n
\n\nImporting Necessary Libraries\n
\n\nBasically the task required 4 common python libraries:
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\nReading The Data\n
\n\nThis task is then followed by 2 additional tasks:
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\nValue Counts of Each Label\n
\n\nFeature Data Reshaping from (1,784) to (20,20)\n
\n\nConvert a Class Vector (integers) to Binary Class Matrix\n
\n\nSplitting training data into train and validation set\n
\n\nCNN Model Design\n
\n\nVisualizing Model Architecture\n
\n\nModel Summary\n
\n\nSetting Optimizer\n
\n\nData Augmentation\n
\n\nEpochs and Batch size\n
\n\nModel Compilation and Fitting it with Feature Data\n
\n\nPlotting the Results\n
\n\nConvert Binary Class Matrix to Class Vector (integers)\n
\n\nResult Submission\n
\n\nThank You !!!!\n
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