TensorFlow: Advanced Techniques Specialization

TensorFlow TensorFlow, an open-source platform for machine-learning, is an end-to–end platform. It offers a flexible, comprehensive ecosystem of tools, libraries and community resources that allows researchers to push the latest developments in machine learning. Developers can easily create and deploy ML-powered apps. TensorFlow is used commonly for machine learning applications like voice recognition and detection. It also supports Google Translate, image recognition, natural language processing, and Google Translate. This Specialization: Expand your knowledge about the Functional API to create non-sequential models. You will learn how to optimize training for different environments using multiple processors and chip types. Also, you will be introduced to advanced computer vision scenarios like object detection, image segmentation and interpreting convolutions. Learn about generative deep learning, including how AIs can create new content using Style Transfer to Auto Encoding and VAEs. About this Specialization: This specialization is for software and/or machine learning engineers who have a basic understanding of TensorFlow and are interested in expanding their knowledge and skills by learning advanced TensorFlow features that can build powerful models. Are you looking for a good place to start? The DeepLearning.AI TensorFlow Professional Certificate will teach you the foundations of deeplearning.AI TensorFlow developer. Are you ready to release your models into the world? How to deploy TensorFlow models worldwide with Data and Deployment Specialization.