CASE STUDY ON X-RAY IMAGES IN DEEP LEARNING|DEEP LEARNING AND ITS APPLICATION |SNS INSTITUTIONS скачать в хорошем качестве

CASE STUDY ON X-RAY IMAGES IN DEEP LEARNING|DEEP LEARNING AND ITS APPLICATION |SNS INSTITUTIONS

Deep Learning is a branch of Artificial Intelligence (AI) and Machine Learning that focuses on teaching computers to learn from large amounts of data using structures called neural networks. These networks are inspired by the way the human brain works, where neurons process and transmit information. In deep learning, data passes through multiple layers of neurons—input layer, hidden layers, and output layer. Each layer extracts different features from the data. For example, in image recognition, early layers detect edges, middle layers detect shapes, and deeper layers recognize objects like faces or cars. Deep learning models improve their performance by adjusting their internal parameters using algorithms such as gradient descent and backpropagation. This allows the model to minimize errors and make better predictions over time. Deep learning is widely used in real-world applications such as speech recognition, self-driving cars, medical diagnosis, recommendation systems, and natural language processing. Because it can automatically learn complex patterns from data, it has become one of the most powerful technologies in modern computing. #snsinstitutions #snsdesignthinkers #designthinking