1. TensorFlow: A popular open-source machine learning framework developed by Google, TensorFlow is widely used for building and training neural networks. It offers a flexible architecture that allows for easy deployment across a variety of platforms, making it a go-to tool for AI developers worldwide. With its extensive library of pre-built models and support for both deep learning and traditional machine learning algorithms, TensorFlow is a versatile tool for tackling a wide range of AI tasks.
2. IBM Watson: IBM Watson is an AI platform that provides a suite of tools and services for building and deploying AI applications. From natural language processing to computer vision, Watson offers a range of capabilities that can be tailored to specific use cases. Its cloud-based infrastructure makes it easy to scale projects as needed, while its robust set of APIs allow for seamless integration with other technologies. With its reputation for reliability and performance, IBM Wats
2. IBM Watson: IBM Watson is an AI platform that provides a suite of tools and services for building and deploying AI applications. From natural language processing to computer vision, Watson offers a range of capabilities that can be tailored to specific use cases. Its cloud-based infrastructure makes it easy to scale projects as needed, while its robust set of APIs allow for seamless integration with other technologies. With its reputation for reliability and performance, IBM Wats