Evolution of Deep Learning
A fascinating discussion unfolds around the shifting dynamics between academia and industry in deep learning, highlighting the rise of foundation models and transformer architectures. As advancements continue, the conversation touches on the impressive accuracy achieved on Imagenet and the evolution of model training techniques. Insights into past decisions and collaborations reveal the interconnected nature of the deep learning community and the relentless pursuit of innovation.In this clip
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