September 7 2017

Deep Learning for Computer Vision

While deep learning can achieve state-of-the-art accuracy for object recognition and object detection, it can be difficult to train, evaluate and compare deep learning models. Deep learning also requires a significant amount of data and computational resources.

In this webinar, we will explore how MATLAB addresses the most common deep learning challenges and gain insight into the procedure for training accurate deep learning models. We will cover new capabilities for deep learning and computer vision for object recognition and object detection.

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