Why companies are moving from TensorFlow to PyTorch
A subcategory of machine learning, deep learning (also known as deep learning) uses multi-layered neural networks to scale up tasks that are still quite difficult for machines, such as image recognition, natural language processing (NPL) and automatic translation. The TensorFlow , who came from Google in 2015, has been the deep learning framework most popular open source research and business. But PyTorch , which emerged from Facebook in 2016, quickly achieved this solution, thanks to improvements made by the community in ease of use and deployment for an ever- expanding range of use cases. PyTorch is having a particularly strong adoption in the automotive industry - where it can be applied in autonomous steering systems from companies like Tesla and Lyft, at level 5 of automotive autonomy. The framework is also being used for content rating and recommendation in media companies and to assist support robots in industrial applications. Joe Spisak, artificial intel...