PyTorch is a powerful open-source machine learning framework widely used for deep learning research and applications. It was launched in 2017 by the Facebook AI Research team and soon became the most efficient deep learning framework.
Based on Python programming language and Torch python library, it is among the most favored libraries among AI researchers and practitioners worldwide. This framework is mostly used for applications using GPUs and CPUs and is considered a better alternative to TensorFlow, Keras, or Scikit Learn.
Most importantly, data science professionals including data scientists, researchers, and even developers can easily test and run a short portion of the codes in real-time without the need to implement the entire code.
Sounds interesting, right?
The United States Data Science Institute (USDSI®) brings a detailed informative guide on this incredible PyTorch Deep Learning Framework, where we talk about its important features, advantages, and working, and understand how it compares with its contenders.
Every data science aspirant and even established professional looking to advance in their data science career must have a deep understanding of the PyTorch framework, its applications, and how to use it to make their data science tasks easier.
Download your copy and master PyTorch for a successful data science career
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