Computer vision is achieving a new frontier of capabilities in fields like health, automobile or robotics. This book explores TensorFlow 2, Google's open-source AI framework, and teaches how to leverage deep neural networks for visual tasks. It will help you acquire the insight and skills to be a pa
HANDS-ON COMPUTER VISION WITH TENSORFLOW 2: leverage deep learning to create powerful image... processing apps with tensorflow 2.0 and keras
โ Scribed by Planche, Benjamin. Andres Eliot
- Publisher
- Packt Publishing Limited
- Year
- 2019
- Tongue
- English
- Leaves
- 363
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Table of ContentsComputer Vision and Neural NetworksTensorFlow Basics and Training a ModelModern Neural networksInfluential Classification ToolsObject Detection ModelsEnhancing and Segmenting ImagesTraining on Complex and Scarce DatasetsVideo and Recurrent Neural NetworksOptimizing Models and Deploying on Mobile DevicesAppendix
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Explore TensorFlow's capabilities to perform efficient deep learning on images Key Features Discover image processing for machine vision Build an effective image classification system using the power of CNNs Leverage TensorFlow's capabilities to perform efficient deep learning Book Descript
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