TensorFlow - Advanced Techniques Coursera

Overview

This TensorFlow - Advanced Techniques Specialization is offered by Coursera in partnership with Deeplearning. 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.

What you'll learn

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

• Learn optimization and how to use GradientTape & 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 AIs can create new content, from Style Transfer through Auto Encoding and VAEs to GANs.

Skills you'll gain

• Deep Learning

• Machine Learning

• Artificial Neural Networks

• Applied Machine Learning

• Python Programming

• Machine Learning Algorithms

• Human Learning

• Computer Vision

• Computer Programming

• Network Model

• Network Architecture

• Computer Graphic Techniques