Exploring the Deep Learning Framework Py Torch Stephanie Kim

STEPHANIE KIM, SOFTWARE ENGINEER AT ALGORITHMIA Users rapidly adopted PyTorch 1. 0 for many reasons. PyTorch is intuitive to learn, and its modularity enhances debugging and visibility. Additionally, unlike other frameworks such as Tensorflow, PyTorch supports dynamic computation graphs that allow network behavior changes on the fly. This talk showcases PyTorch benefits like TorchScript, which allows models to be exported in nonPython environments. Well also discuss prerelease serialization and performa