What is pytorch? Explain the basic concepts of pytorch

PyTorch yes Torch7 Team developed , You can see from its name that , And Torch The difference is that PyTorch Used Python As a development language .pytorch What is it? ？ What can be used for ？ What you care about , Here comes the answer .

pytorch What is it? ？ What to do ？

PyTorch Is an open source deep learning framework , Known for its flexibility and ease of use . This is partly because of the popularity with machine learning developers and data scientists Python High level programming language compatibility .

PyTorch Is a fully functional framework for building deep learning models , It is a kind of machine learning commonly used in image recognition, language processing and other applications . Use Python To write , So for most machine learning developers , It is relatively easy to learn and use .PyTorch What's unique about , It fully supports GPU, And use the reverse mode automatic differentiation technology , Therefore, the calculation drawing can be dynamically modified . This makes it a common choice for rapid experiments and prototyping .

PyTorch yes Facebook AI Research And the work of several other lab developers . The framework will Torch Efficient and flexible GPU Accelerate back-end libraries with intuitive Python Front end combination , The latter focuses on rapid prototyping 、 Readable code , And support the widest possible range of deep learning models .Pytorch Support developers to use familiar imperative programming methods , But you can still export to a drawing . It's on 2017 Released as open source in , Its Python It is deeply loved by machine learning developers .

It is worth noting that ,PyTorch Adopted Chainer Innovative technology , It is called reverse mode automatic differentiation . essentially , It's like a tape recorder , Record the completed operation , Then playback , Calculate the gradient . This makes PyTorch Debugging is relatively simple , And it can be well adapted to some applications , For example, dynamic neural network . Because each iteration may be different , So it is very suitable for prototype design .

PyTorch stay Python Especially popular among developers , Because it uses Python To write , And use the command form of the language 、 The runtime defines the immediate execution mode , In this mode , from Python The operation is performed when the operation is called . With Python The widespread adoption of programming languages , A survey shows that ,AI And machine learning tasks are receiving more and more attention , And related PyTorch The adoption of . This makes PyTorch For those who have just come into contact with deep learning Python It is a good choice for developers , And more and more in-depth learning courses are based on PyTorch. Start with earlier versions ,API Always consistent , This means that the code is for experienced Python It is relatively easy for developers to understand .

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