Scaling machine learning pipelines using PyTorch can be a pain. You typically start a PyTorch-based machine learning project by defining the model architecture. Then you run it on a CPU machine and progressively create a training pipeline. Once the pipeline is done, you run the same code on a GPU or TPU machine for faster […] The post PyTorch Lightning: A Better Way to Write PyTorch Code appeared first on QBurst Blog.
