Overview

Are you curious to know how to apply deep learning in the real-world for image and videos?

Deep learning can achieve state-of-the-art accuracy for object recognition and object detection. This webinar will provide a better understanding of deep learning technologies and the potential benefits that deep learning offers for image and video applications.

To give participants a better understanding of the types of applications that can be greatly enhanced by deep learning, the webinar will include real-world application examples developed and implemented by MATLAB.

Highlights:

Import networks designed and trained from Caffe.
Creating ground truth data for object detection.
Real-time object detection using YOLO v2 and SSD.
Automatically convert a model to CUDA.

Speaker

Siti Safwana

Siti Safwana is an Senior Application Engineer at TechSource Systems. She is specialized in the field of image processing, computer vision, machine learning, and deep learning with MATLAB. She helps various customers across different industries on projects such as real-time object recognition, manufacturing defect objects detection using Deep Learning and Computer Vision, data forecasting analytics, and multiple image processing project-based.
She additionally holds an HRDF Train-The-Trainer (TTT) certificate and trained in official MathWorks training programs like MATLAB Fundamental, Image Processing, and Machine Learning. She teaches and covers ASEAN region such as Malaysia and Philippines.
Siti Safwana holds an M.Eng in Science in Electronics from Universiti Teknikal Malaysia Melaka (UTeM) and currently pursuing her Ph.D. in Science in Electronic researching computer vision field in the domain of depth/disparity map and 3D reconstruction using Artificial Intelligence at UTeM under the department of Faculty of Electronic and Computer Engineering.

Overview

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Speaker

Siti Safwana

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