Dramatically accelerate the building process of complex models using PyTorch to extract the best performance from any computing environment
Key Features
Reduce the model-building time by applying optimization techniques and approaches
Harness the computing power of multiple devices and machines to boost the training process
Focus on model quality by quickly evaluating different model configurations
Book Description
Penned by an expert in High-Performance Computing (HPC) with over 25 years of experience, this book is your guide to enhancing the performance of model training using PyTorch, one of the most widely adopted machine learning frameworks.
You'll start by understanding how model complexity impacts training time before discovering distinct levels of performance tuning to expedite the training process.
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