Fast, Portable and Accurate Neural Networks
Algorithmic optimization techniques to improve network performance, including network compression techniques such as network pruning, low precision, and sparsity. Effective techniques to improve inference speed and portability, including a comparison of the classic approach vs. a more accurate approach to considering flops, parameters, compute, memory, and heap size.
Outline/Structure of the Talk
Optimizing the performance of Neural Nets
Making Networks Portable without losing Accuracy
How to optimize the networks without compromising on accuracy.
Ai Developers, Data Scientists, AI Engineers
Prerequisites for Attendees
Thorough knowledge in Deep Learning mainly Neural Networks and Computer Vision.
schedule Submitted 1 year ago
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In today's world, Network and System Security are of paramount importance in the digital communication environment. On par with the developments in technology, many threats have emerged for information security which has worse effects when it comes to sensitive transactions.
Intruders can easily break the walls of the network and can cause many kinds of breaches such as the crash of the networks, Denial Of Service, injecting Malware, etc.,
An Intelligent Intrusion Detection System is built by leveraging the benefits of Machine Learning techniques that detect the intrusion and alerts the respective network administrator. The developed system analyses and predicts the behavior of users which in turn classifies as an anomaly or normal behavior.