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What is PyTorch?

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Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

PyTorch is an open source machine learning framework that fast tracks the path from research prototyping to production deployment. It was primarily developed by Facebook’s artificial intelligence research group.

PyTorch is predominantly used to implement various neural network architectures like recurrent neural networks (RNNs), convolution neural networks (CNNs), long term short memory (LSTM), and other similar high-level neural networks.

Let’s have a look at some of the key features PyTorch has to offer:

  • PyTorch uses the TorchScript feature to accelerate the path to production by providing a smooth transition from eager mode to graph mode.

  • PyTorch offers a dense ecosystem of tools and packages that extend the functionality of Pytorch to other areas like computer vision and natural language processing.

  • PyTorch is very well supported by various cloud platforms to ease development and rescaling.

  • PyTorch backend offers scalable distributed training and optimization mediums.

RELATED TAGS

pytorch
python
machine learning
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Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

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