Benjamin Carr, Ph.D. 👨🏻💻🧬<p>How a stubborn <a href="https://hachyderm.io/tags/computerscientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>computerscientist</span></a> accidentally launched the <a href="https://hachyderm.io/tags/deeplearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deeplearning</span></a> boom<br>"You’ve taken this idea way too far," a mentor told Prof. Fei-Fei Li, who was creating a new image <a href="https://hachyderm.io/tags/dataset" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataset</span></a> that would be far larger than any that had come before: 14 million images, each labeled with one of nearly 22,000 categories. Then in 2012, a team from Univ of Toronto trained a <a href="https://hachyderm.io/tags/neura" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neura</span></a> network on <a href="https://hachyderm.io/tags/ImageNet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ImageNet</span></a>, achieving unprecedented performance in image recognition, dubbed <a href="https://hachyderm.io/tags/AlexNet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlexNet</span></a>.<br><a href="https://arstechnica.com/ai/2024/11/how-a-stubborn-computer-scientist-accidentally-launched-the-deep-learning-boom/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">arstechnica.com/ai/2024/11/how</span><span class="invisible">-a-stubborn-computer-scientist-accidentally-launched-the-deep-learning-boom/</span></a> <a href="https://hachyderm.io/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a></p>