INTERESTING NEURAL NETWORKS:[Spike Based Neural Networks]

Spiking neural networks in Deep Learning, (SNNs) are inspired by information processing in biology, where sparse and asynchronous binary signals are communicated and processed in a massively parallel fashion. SNNs on neuromorphic hardware exhibit favorable properties such as low power consumption, fast inference, and event-driven information processing. This makes them interesting candidates for the efficient implementation of deep neural networks, the method of choice for many machine learning tasks. The goal of our review is to define a categorization of SNN training methods, and summarize their advantages and drawbacks. We further discuss relationships between SNNs and binary networks, which are becoming popular for efficient digital hardware implementation. Neuromorphic hardware platforms have great potential to enable deep spiking networks in real-world applications.

We from BEPEC are ready to help you and make you shift your career at any cost.

For more details visit: https://www.bepec.in/machinelearningcourse

Bepec registration form : https://www.bepec.in/registration-form

Check our youtube channel for more videos and please subscribe: https://www.youtube.com/channel/UCn1U...

Check our Instagram page: https://instagram.com/bepec_solutions/

Check our Facebook Page : https://www.facebook.com/Bepecsolutions/