MNIST is a set of 70,000 small images of digits handwritten by high school students and employees of the US Census Bureau. Each image is labeled with the digit it represents.MNIST has a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label.
The objective of the project is - to use MNIST dataset to identify (predict) digits from the given images of handwritten digits using Deep Learning (CNN) with TensorFlow Keras.
Instructor:
Abhinav
Sandeep
