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Programming assignments and labs from the TensorFlow Advanced Techniques Specialization offered by deeplearning.ai on Coursera.

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pabaq/Coursera-TensorFlow-Advanced-Techniques-Specialization

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This repository contains my work on the assignments and labs from the TensorFlow Advanced Techniques Specialization offered by deeplearning.ai on Coursera.

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.

Programming Assignments

Understand the underlying basis of the Functional API and build exotic non-sequential model types, custom loss functions, and layers.

Learn how optimization works and how to use GradientTape and Autograph. Optimize training in different environments with multiple processors and chip types.

Practice object detection, image segmentation, and visual interpretation of convolutions.

Explore generative deep learning and how AI can create new content, from style transfer through auto-encoding and VAEs to generative adversarial networks.

Reference

Coursera TensorFlow Advanced Techniques Specialization

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