2009
Rajat Raina, Anand Madhavan and Andrew Ng publish "Large-scale Deep Unsupervised Learning using Graphics Processors," arguing that graphics processing units (GPUs) can far outperform traditional multi-core CPUs for deep learning tasks.33 They demonstrate that GPUs' superior computational power can revolutionize the applicability of deep unsupervised learning methods, allowing researchers to train more extensive and complex models more efficiently. This work is instrumental in accelerating the adoption of GPUs in deep learning, leading to the breakthroughs in the 2010s that power modern AI applications in fields such as computer vision and natural language processing.
You are viewing a single comment's thread from: