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research.google | ||
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initialcommit.com
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| | | | | In March 2017, Google Brain, the deep learning artificial intelligence research project at Google, published the paper "Detecting Cancer Metastases on Gigapixel Pathology Images", in which they demonstrated that a CNN could exceed the performance of a trained pathologist with no time constraints. | |
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deepmind.google
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| | | | | According to empirical evidence from prior works, utility degradation in DP-SGD becomes more severe on larger neural network models - including the ones regularly used to achieve the best... | |
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d2l.ai
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| | | | | [AI summary] This chapter provides an in-depth exploration of recommender systems, covering fundamental concepts and advanced techniques. It begins with an overview of collaborative filtering and the distinction between explicit and implicit feedback. The chapter then delves into various recommendation tasks and their evaluation methods. It introduces the MovieLens dataset as a practical example for building recommendation models. Subsequent sections discuss matrix factorization, AutoRec using autoencoders, personalized ranking with Bayesian personalized ranking and hinge loss, neural collaborative filtering, sequence-aware recommenders, feature-rich models, and deep factorization machines like DeepFM. The chapter concludes with implementation details and ev... | |
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www.uptycs.com
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| | | Cybersecurity trends 2024: insights from experts about the AI's role, the rising cyber threat spectrum & strategies for tackling security challenges | ||
