MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike.
In this Model, My goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. I will create my own CNN(Convolutional Neural Network)
to recognize those Digits.
Run this commands to get Mnist dataset
from keras.datasets import mnist
(x_train, y_train), (x_test, y_test)=mnist.load_data()
I furthur Deployed the model in Tinkter . This is how it Looks
