Outer Web | Explore

/explore

Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.

You are here		github.com GitHub - tensorflow/tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessibl...
\|	\|	www.altexsoft.com Machine Learning Pipeline: Architecture of ML Platform A dive into the machine learning pipeline on the production stage: the description of architecture, tools, and general flow of the model deployment.	3.8 parsecs Travel
\|	\|
\|	\|	research.google Accelerating Deep Learning Research with the Tensor2Tensor Library Posted by ?ukasz Kaiser, Senior Research Scientist, Google Brain Team Deep Learning (DL) has enabled the rapid advancement of many useful technolog...	1.6 parsecs Travel
\|	\|
\|	\|	d2l.ai 21. Recommender Systems - Dive into Deep Learning 1.0.3 documentation [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...	5.0 parsecs Travel
\|	\|
\|	\|	sebastianraschka.com Finetuning Large Language Models On A Single GPU Using Gradient Accumulation \| Sebastian Raschka, PhD Previously, I shared an article using multi-GPU training strategies to speed up the finetuning of large language models. Several of these strategies include...	13.3 parsecs Travel
\|