Did you know you can massively accelerate model training time with a Keras utility wrapper function? Especially useful if you’re laser-focused on one experimental direction while extra GPUs idle on your system. Discover the magic trick of data-parallel distributed training:
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We're building lightweight, flexible experiment tracking tools for deep learning. Add a couple of lines to your python script, and we'll keep track of your hyperparameters and output metrics, making it easy to compare runs and see the whole history of your progress. Think of us like GitHub for deep learning.
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