[2]:https://devblogs.nvidia.com/massively-scale-deep-learning-training-nccl-2-4 [3]:https://www.researchgate.net/publication/304101213_Hierarchical_redesign_of_classic_MPI_reduction_algorithms [4]:http://andrew.gibiansky.com/blog/machine-learning/baidu-allreduce/ [5]:https://nnabla.org/paper/...
HPC is typically associated with scientific computations, classic examples include molecular dynamics or cosmological simulations, but recently deep learning (DL) has become an application of interest. DL is a subset of machine learning (ML) that leverages massive model and dataset size to achieve ...
Apply deep subject matter expert knowledge of specialized tools/methods to support research project planning. Evaluate insights based on their impact and value. 4. Drive a research agenda through one or more projects, resulting in the development of new algorithms, prototypes, theories, tools, ...
Neural Networks and Deep LearningfromDeepLearning.AI★★★(16) Chinese for BeginnersfromPeking University★★★☆(61) Algorithms, Part IfromPrinceton University★★★☆(62) CS50’s Introduction to Artificial Intelligence with PythonfromHarvard University★★★(25) CS50’s Introduction...
1a, this complex field imager is composed of a series of spatially engineered diffractive surfaces (layers), which are jointly optimized using supervised deep learning algorithms to successively perform the modulation of incoming complex fields. This diffractive architecture, known as a diffractive ...
Among machine learning algorithms, a class of algorithms called deep learning hascome to represent those algorithms that can absorb huge volumes of data and learn elegant and useful patterns within that data: faces inside photos, the meaning of a text, or the intent of a spoken word. A set ...
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans - DeepLabCut/DeepLabCut
🎥️ Rasa Algorithm Whiteboard - YouTube series by Rasa explaining various Data Science and NLP Algorithms 🎥️ ExplosionAI Videos - YouTube series by ExplosionAI teaching you how to use spacy and apply it for NLP Courses 🎥️ CS25: Transformers United Stanford - Fall 2021 [Course,...
Restructure code to support swappable detection and recognition algorithms The api should be as easy as reader=easyocr.Reader(['en'],detection='DB',recognition='Transformer') The idea is to be able to plug in any state-of-the-art model into EasyOCR. There are a lot of geniuses trying to...
[2]:https://devblogs.nvidia.com/massively-scale-deep-learning-training-nccl-2-4 [3]:https://www.researchgate.net/publication/304101213_Hierarchical_redesign_of_classic_MPI_reduction_algorithms [4]:http://andrew.gibiansky.com/blog/machine-learning/baidu-allreduce/ ...