Deep Learning from Scratch with PyTorch Tutorial | SciPy 2020 | Dhavide Aruliah, Hugo Bowne-Anderson
Автор: Enthought
Загружено: 2020-07-20
Просмотров: 6390
Описание:
This tutorial introduces deep learning (also called neural networks) to intermediate-level Pythonistas. The goal is for participants to develop a sound conceptual foundation for deep learning and to obtain some hands-on experience using an industry-ready toolkit. They will do this in two parts: (1) implementing a neural network classifier from scratch (following a quick review of NumPy array-based computing & supervised learning with Scikit-Learn); and (2) a tour of the PyTorch library building more sophisticated, industry-grade neural networks of varying depth & complexity.
Additional information and setup instructions are available at https://www.scipy2020.scipy.org/tutor....
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