Neural Structured Learning in TensorFlow
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore Neural Structured Learning in TensorFlow through this 43-minute conference talk from TF World '19. Discover how this open-source framework enables both novice and advanced developers to train neural networks with structured signals. Learn about the advantages of learning with structure, model robustness, and practical applications in image classification. Gain insights into neural graph learning, adversarial learning, and the use of libraries, tools, and trainers. Delve into hands-on tutorials and explore concepts like image semantic embedding and neural architecture. Presented by Da-Cheng Juan and Sujith Ravi, this talk provides a comprehensive overview of Neural Structured Learning's potential in vision, language understanding, and general prediction tasks.