Digit recognition using CNN (Accuracy 99.41 %)
Here, we need to identify the digit in given images. We have total 70,000 images, out of which 49,000 are part of train images with the label of digit and rest 21,000 images are unlabeled (known as test images). Now, We need to identify the digit for test images
The data set used for this problem is from the populat MNIST data set. Developed by Yann LeCun, Corina Cortes and Christopher Burger for evaluating machine learning model on the handwritten digit classification problem. It is a widely used data set in the machine learning community. For more details about the data set, read here http://bit.ly/1REjJgL
train.csv contain filenames with labels from train data.
train_data1.csv contains pixel data of every image from train data.
test_data1.csv contains pixel data of every image from train data
test.csv contains filenames of test data.
sample_submission.csv contains sample format for submitting solution.