
TensorFlow: Advanced Techniques Specialization
Courses Done
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.
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This specialization expanded my knowledge of the Functional API and help me build exotic non-sequential model types. I was able to learn how to optimize training in different environments with multiple processors and chip types and got introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explored generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs.