"Probabilistic Machine Learning" - a book series by Kevin Murphy - probml/pml-book... (more…)
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Gradient descent: Step-by-step spreadsheets show you how machines learn without the code. Go under the hood with backprop, partial derivatives, and gradient descent. (more…)
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We present IPU Trusted Extensions (ITX), a set of experimental hardware
extensions that enable trusted execution environments in Graphcore's AI
accelerators.
ITX enables the execution of AI workloads with strong confidentiality and
integrity guarantees ... (more…)
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Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.✏️ Daniel Bourke develo... (more…)
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Machine learning (ML) prediction APIs are increasingly widely used. An ML API
can change over time due to model updates or retraining. This presents a key
challenge in the usage of the API because it is often not clear to the user if
and how the ML model ... (more…)
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