Handwritten Character Recognition with Neural Network - DataFlair

In the above code segment, we print out the training & validation accuracies along with the training & validation losses for character recognition. We have successfully developed Handwritten character recognition (Text Recognition) with Python, Tensorflow, and Machine Learning libraries. Handwritten characters have been recognized with more than 97% test accuracy. This can be also further extended to identifying the handwritten characters of other languages too. Did you like our efforts?