Tag: deep learning
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PyTorch Essentials in Python: Tensors, Autograd and a Training Loop You Can Read (Data Science Series, Part 17)
Tensors, autograd and a hand written training loop in PyTorch 2.13, rebuilt on the churn model from Part 16. Includes the three errors that cost me the most time and an honest CPU versus GPU comparison.
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How Neural Networks Learn, Without the Math (GenAI Series, Part 6)
Neurons, layers, and weights in plain English. How a neural network learns by guessing, measuring its error, and nudging its dials, repeated across millions of examples.
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How We Got from If-Statements to ChatGPT (GenAI Series, Part 3)
AI did not appear overnight. The road to ChatGPT runs through four eras, hand-written rules, machine learning, deep learning, and the 2017 transformer, explained in plain English.
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About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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