HTC Seminar Series #21 - From Research to Production with PyTorch
Today's HTC seminar is presented by Jeff Smith of Facebook. Jeff discusses some of the latest features from PyTorch - the TorchScript JIT compiler, distributed data parallel training, TensorBoard integration, new APIs, and more. He talks about some projects coming out of the PyTorch ecosystem like BoTorch, Ax, and PyTorch BigGraph. He also presents some of the use cases and industries where people are successfully taking PyTorch models to production.
This presentation digs into a key factor, which is the following. How do you deploy your deep learning neural net system into actual production? How to you get it into an actual product that actual people can use?
Here's a tutorial on 'Loading a Torchscript Model in C++'.
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