Artificial Intelligence (AI) is a rapidly growing field with numerous applications, including computer vision, natural language processing (NLP) and speech recognition. To develop these AI applications, developers use various tools and frameworks that provide a comprehensive platform for building and deploying machine learning models.
This article will discuss the seven popular tools and frameworks used for developing AI applications: TensorFlow, PyTorch, Keras, Caffe, Microsoft (NASDAQ:MSFT) Cognitive Toolkit, Theano and Apache MXNet. These tools have become the go-to choice for developers thanks to their ease of use, scalability and efficient execution of complex mathematical operations.