TensorFlow: Advanced Techniques Specialization

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The TensorFlow: Advanced Techniques Specialization is a non-degree program for software and machine learning engineers who want to expand their knowledge of TensorFlow. It's a 4-course series that lasts several weeks and helps you master advanced TensorFlow features. You'll gain practical knowledge and hands-on training in building powerful models.

This specialization covers the Functional API, exotic non-sequential model types, and advanced computer vision scenarios like object detection and image segmentation. You'll also explore generative deep learning, including Style Transfer, Auto Encoding, and Generative Adversarial Networks. The curriculum includes four courses where you'll learn optimization techniques, build custom loss functions, and practice object detection and visual interpretation of convolutions.

After completing this specialization, you can pursue careers like Senior Machine Learning Engineer, AI Engineer, Computer Vision Engineer, Data Scientist, or Software Engineer. You'll be able to work in various industries, including tech, automotive, and healthcare, and be employed by companies like Google, NVIDIA, or Amazon.