Archives for EfficientNet-EdgeTPU
Researchers from Facebook AI recently introduced a new network design paradigm known as RegNet. RegNet – or Regular Networks – is a low-dimensional design space that consists of simple, regular networks. The researchers analyzed the RegNet design space and arrived at interesting findings, which are a unique match to the current practice of network design. …
The post Facebook’s New AI Models Run 5x Faster On GPUs, Outperforms EfficientNet Models appeared first on Analytics India Magazine.
Regardless of what is happening around the world, the AI community are one productive bunch, and they have something interesting to share almost every day. So, here’s a compilation of all the important releases for the ML developers from top companies like Google and Uber. Here’s what is new this week: Google Open-Sources Neural Tangent […]
The post Turing Award For Pixar, Open Sourcing Of EfficientNet Lite And More: Latest in AI appeared first on Analytics India Magazine.
Image classification tasks occupy the majority of machine learning experiments. Their critical usage in medical diagnosis, digital photography, self-driving cars and many others have attracted researchers to innovate models that would give near perfect prediction of the target object. Here, we have compiled a list of top-performing methods according to papers with code, on the…
The post Top 7 Baselines For Image Recognition appeared first on Analytics India Magazine.
The developer community is aware of Google’s Cloud TPU that is powering breakthroughs in data centres across the globe. Tailored for machine learning training and inference, these accelerators custom-designed for handling specific workloads work better than GPU/CPUs in data centres. Now, as the demand for training at the edge rises, we have seen a considerable…
The post Can EfficientNet-EdgeTPU Help Google Capitalise The Edge IoT Market? appeared first on Analytics India Magazine.