Deep Learning

Deep learning is a subfield of machine learning that involves training artificial neural networks to solve complex problems. Neural networks are composed of multiple layers of interconnected nodes that process and transform data inputs. Deep learning algorithms use these neural networks to learn patterns in data by iteratively adjusting the weights and biases of the nodes to minimize the error between the predicted and actual outputs.

Deep learning has enabled breakthroughs in various areas such as computer vision, natural language processing, speech recognition, and robotics. Some notable applications of deep learning include image and video recognition, autonomous vehicles, recommendation systems, and medical diagnosis.

Deep learning requires a large amount of labeled data to be effective, as well as significant computing power to train and optimize the neural network models. However, with the recent advancements in hardware and software, deep learning has become more accessible and widely used in industry and academia.