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PyTorch review
Rohan Sharma
AI/ML Co-Lead at a tech services company with 11-50 employees
Enabled creation of innovative projects through developer-friendly features
The aspect I like most about PyTorch is that it is really developer-friendly. Developers can constantly create new things, and everyone around the world can use it for free because it's an open-source product. What I personally like is that PyTorch has enabled users to use Apple's M1 chip natively for GPU users. Unlike other libraries using...
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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