deadskull7 / MNIST-digit-recognition-and-classification-using-CNN-with-Keras-99.70View external linksLinks
The training dataset consists of 42000 rows each of 784 pixel values thus representing 28 x 28 sized 42000 images of different digits from 0 to 9 . I have used Convolutional Neural Networks to train the model with the help of Keras and made predictions on the 28000 images of the test dataset, also achieved 99.321 % valid accuracy with just 10 ep…
☆12Jul 11, 2018Updated 7 years ago
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