English | Size: 5.46 GB
Genre: eLearning
Deep dive into understanding automatic differentiation used by PyTorch autograd for deep learning with the help of Carl Osipov, who has spent over 15 years working on big data processing and machine learning in multi-core, distributed systems, such as service-oriented architecture and cloud computing platforms.
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