Is pytorch difficult to learn? How to learn pytorch well?

Someone always asks me backstage , Now TensorFlow and PyTorch Two deep learning frameworks , Which is more popular ? Let's just say that , Interns interviewed this year , When asked about the commonly used deep learning framework , They all chose 「PyTorch」.pytorch Is it hard to learn ?

pytorch Is it hard to learn ？

pytorch It's not hard to learn , These two years ,PyTorch The framework relies on its friendliness to beginners 、 flexibility , Rapid development , Almost half of the field of deep learning . Compared with TF The configuration of the framework is not compatible with the environment , and Keras Inflexibility due to high encapsulation ,PyTorch Whether in academia or industry , Are quite dominant . literally , Mastered PyTorch , It is equivalent to embarking on deep learning 、 The fast lane of machine learning .

that ,PyTorch Why so strong ?

First ,PyTorch Imperative programming style , It's user-friendly .

PyTorch Design more scientifically , It doesn't have to be like TF like that , And in all kinds of API Switch between , Easy to operate . The code is also more readable , It can make people focus on the problem itself rather than realizing . One layer It only corresponds to one function , Don't worry about what you should learn .

secondly ,PyTorch It's easier to use , And it's ecological , Most papers are open source PyTorch.

PyTorch Various development versions can be downward compatible , Environment configuration and network construction won in minutes . and PyTorch Follow NumPy The style is similar , It's easy to be with Python Ecological integration , Developers have mastered NumPy With basic deep learning concepts, you can get started .

also ,PyTorch stay debug The code process is also very convenient , Intermediate vector results can be output at any time .

Use PyTorch As in the Python Use in print It's as simple as , Just put one pdb The breakpoint is thrown into PyTorch In the model , You can use it directly .

and PyTorch More and more widely used , Not only can it help you implement models and algorithms , Quickly complete the deployment of deep learning model , Provide high concurrency Services , You can also easily realize image generation 、 Text analysis 、 An interesting experiment like emotion analysis .

As can be seen from the picture below , Its technical iteration speed , And the speed of ecological development is very rapid .

Now? , More and more big companies are using PyTorch, Many large factories are recruiting , Jobs related to Algorithms , It will also require you to skillfully use PyTorch Tools such as .

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