TensorFlow: Advanced Techniques

About TensorFlow TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and developers easily build and deploy ML-powered applications. TensorFlow is commonly used for machine learning applications such as voice recognition and detection, Google Translate, image recognition, and natural language processing. About this Specialization Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs. About you This Specialization is for software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models. Looking for a place to start? Master foundational basics with the DeepLearning.AI TensorFlow Developer Professional Certificate . Ready to deploy your models to the world? Learn how to go live with the TensorFlow: Data and Deployment Specialization

• Understand the Functional API and build exotic non-sequential models
• Learn optimization with GradientTape and Autograph across environments
• Practice object detection, image segmentation, and interpreting convolutions
• Explore generative deep learning and AI content creation techniques

• Basic familiarity with the topic and terminology
• Readiness for applied exercises or case studies