Efficient and Optimal Deep Learning Inference for Computer Vision Applications

A cognitive solution is impactful when it can truly solve business problems in real time through inference. Deep Learning Model Inference is critical as it controls the performance and accuracy of the cognitive solution. The growing popularity of Augmented Reality, Facial Recognition, Facial Authentication, and Voice, and their need for real time processing has urged developers to look for new, effective ways of reducing the size/memory and computing power required for the application of neural networks.

About the speaker:

Venkatesh is a senior data scientist and practice leader with over 9 years of experience. As a solution consultant at Sahaj Software Solutions, he helps businesses solve complex problems using AI-powered solutions. He specialises in Deep Learning, Computer Vision, Machine Learning, embedded-AI and business intelligence.