Fundamentals of PyTorch – Introduction
Since it was introduced by the Facebook AI Research (FAIR) team, back in early 2017, PyTorch has become a highly popular and widely used Deep Learning (DL) framework. Since the humble beginning, it has caught the attention of serious AI researchers and practitioners around the world, both in industry and academia, and has matured significantly over the years.
Scores of DL enthusiasts and professionals started their journey with the Google TensorFlow (TF), but the learning curve with base TensorFlow has always been steep. On the other hand, PyTorch has approached DL programming in an intuitive fashion since the beginning, focusing on fundamental linear algebra and data flow operations in a manner that is easily understood and amenable to step-by-step learning.
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