MNIST Digit recognization using Neural Networks

• Tech Stack: Python, Tensorflow, Keras
• Github URL: Project Link

MNIST is a popular dataset of handwritten digits (0 to 9) used for image classification. A neural network (NN) can be trained on this dataset to recognize and classify the digits. The NN typically consists of an input layer, one or more hidden layers, and an output layer. By optimizing the network's weights and biases, it can achieve high accuracy in identifying the correct digit from the input image.