Deep learning is a subset of machine learning that focuses on creating neural networks that can learn from large datasets and achieve high levels of accuracy in tasks such as image recognition and natural language processing. Deep learning is used in many applications, such as speech recognition, self-driving cars, and medical diagnosis. Popular deep learning platforms include TensorFlow, PyTorch, and Keras. Visit our site Continuous integration (CI) is the practice of continuously building and testing code changes as they are made, to catch and fix problems early in the development cycle. CI is an essential part of DevOps and agile software development. Popular CI tools include Jenkins, Travis CI, and CircleCI.