Deep Learning based on Image Recognition Convolutional Neural Networks

Deep learning has grown in popularity over the last few decades. This technique has a variety of applications, including self-driving automobiles, successful web search, statement recognition, and image recognition. Deep learning's success gradually spreads into everyday lives. Deep learning is a sort of artificial intelligence (AI) technology that allows technology to learn independently and without being explicitly programmed. This is a fascinating and difficult matter with the potential to shape technology's future. This paper develops an image recognition system using python programming languages and the most popular deep learning workflow, Convolutional Neural Network, or CNN. We also use Keras and TensorFlow, a third-party library, to perform these operations.