Deep Learning with GPUs: For the beginner

This is a report on the use of deep learning (DL) with neural networks powered by graphical processing units (GPU). The report is aimed at students and researchers to assist them in getting started within this vital field. This work began at the University of Leeds and led me to my current career within NVIDIA, the inventor of the GPU. These co-processors are, along with massive datasets and efficient algorithms, powering the DL renaissance worldwide. The pace of progress is so great within deep learning that NVIDIA are constantly reshaping their ecosystem and recently became the #1 on the Green500 with their 5 Petaflop SATURN V facility, housed in Santa Clara, California. The first task it will be given, externally, is to help on the Cancer Moonshot project in the US, realising my dream that AI be used within Healthcare. Google DeepMind are also now working directly with the NHS. I hope you find this useful.

這是一份關於使用深度學習（DL）與由圖形處理單元（GPU）驅動的神經網絡的報告。該報告旨在幫助學生和研究人員在這一重要領域入門。這項工作始於利茲大學，並導致我目前在GPU發明者NVIDIA的職業生涯。這些協處理器連同大型數據集和高效算法一起，正在全球推動DL的復興。深度學習的進展速度如此之快，以至於NVIDIA不斷重塑其生態系統，最近在加利福尼亞州聖塔克拉拉的5 Petaflop SATURN V設施上成為Green500的第一名。它將首先在美國的癌症登月計劃中發揮作用，實現我對AI在醫療保健中的應用的夢想。Google DeepMind現在也直接與英國國家衛生服務（NHS）合作。希望這對你有所幫助。