GCP AI Fundamentals - AIML Series 3 - TensorFlow
Introduction to TensorFlow TensorFlow, an open-source library developed by Google Brain, is a cornerstone for machine learning and AI tasks. Here's an in-depth look at its fundamental aspects: Flexibility and Scalability: TensorFlow supports various platforms (CPUs, GPUs, TPUs) and can scale from mobile devices to large clusters. Community Support: A vast community and extensive resources, including tutorials, pre-trained models, and research papers, enhance learning and problem-solving. Wide Application: From research to production, TensorFlow is used for diverse applications such as natural language processing, computer vision, and reinforcement learning. TensorFlow’s comprehensive suite of tools and libraries empowers developers to build and deploy machine learning models efficiently, making it an invaluable resource for AI practitioners. TensorFlow API Hierarchy and Components The API hierarchy in TensorFlow is designed to cater to different levels of abstraction,...