Classification of the handwritten digits (0-9) has been performed using CNN. The data set includes 60,000 training samples and 10,000 testing samples. The dataset is collected from MNIST.

• Tensorflow 2.0 is used.
• The model includes 2 conv, 2 maxpool, 1 dense, 1 dropout layers.
• Earlystopping is performed.
• 99% accuracy is achieved.

This Project’s GitHub Repository

• Classification
• CNN
• Computer Vision