XDJ [Download] Convolutional Neural Networks for Image Classification For Free What you’ll learn Design deep CNNs architectures with high accuracy results Demonstrate classification in Real Time by camera Generate synthetic data to augment existing dataset Assemble own, custom dataset for Classification tasks Modify existing dataset for Classification tasks Apply preprocessing techniques for dataset before training Train deep CNNs in Keras Classify new images after training Requirements Basic knowledge of Image Classification Algorithms Basics on how CNN works Intermediate knowledge of Python V3 Basic knowledge of OpenCV Basic knowledge of Tensorflow Basics on how to use Anaconda Environments Basics on how to code in Jupyter Notebook Who this course is for: Students who want to build complete application for Image Classification with CNN Students who want to improve their hard skills on Image Classification with CNN before their next interview for internship or dream job Students who want to use CNN with their Own Data for Image Classification but don’t know where to start Young Researchers who study different Image Classification Algorithms and want to Train CNN with Custom Data and Compare results with other approaches Students who know basics of Image Classification but want to know how to Train CNN with New Data Students who study Computer Vision and want to know how to use CNN for Image Classification Students who work on project of safety driven and want to Classify Traffic Signs with CNN Students who develop alarm-warning system for driver and need to Classify Traffic Signs SALES PAGE DOWNLOAD LINK RAR password: xdj@hacksnation.com
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