Secure communication and implementation of handwritten digit recognition using deep neural network

Machine Learning is an important field of research in current trends. The extended field of machine learning is Deep Learning and is used for various research areas such as neural networks, image and signal processing, pattern recognition, etc. The handwritten digit recognition is an important task or process included in various applications such as car number plate recognition, staff identity number detection, etc. This paper proposed the design and analysis of various deep learning algorithms such as deep neural networks, convolutional neural networks, LeNet-5, AlexNet and MiniVGGNet for handwritten digit recognition using MNIST dataset.

Automated summary

This paper discusses the applications of machine learning and its extended field, deep learning, in handwritten digit recognition. It proposes various deep learning algorithms and conducts design and analysis using the MNIST dataset.