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PyTorch review
Jithin James
Financial Analyst 4 (Supply Chain & Financial Analytics) at Juniper Networks
User-friendly, easy to learn, performs well, and is more advanced than other tools
The most valuable feature would be the solution’s performance. The product is more advanced than the other libraries that I have used. Since every functionality is production-ready, I can easily write code. I don't have to rewrite the code for production. It has production-ready code from the start. The tool is very user-friendly. It took...
PyTorch review
Data Scientist. at a computer software company with 501-1,000 employees
Allows us to do batched mode, distributed data parallelism, and model parallelism...
PyTorch could make certain things more obvious. Even though it does make things like defining loss functions and calculating gradients in backward propagation clear, these concepts may confuse beginners. We find that it's kind of problematic. Despite having methods called on loss functions during backward passes, the oral documentation for...
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