The 2012 breakthrough by Krizhevsky(of AlexNet fame), Sutskever(Co-Founder at OpenAI), and Hinton(Godfather of AI) with AlexNet revolutionized AI.
By using deep convolutional neural networks and leveraging GPUs for training, they achieved insane accuracy on ImageNet dataset. This not only validated deep learning's potential but also introduced key innovations like ReLU activations, dropout, and data augmentation.
Be the first to comment.
In the world of machine learning, there are two distinct mindsets: classical statistical learning and modern neural networks. I’ve noticed that classical approaches feel like solving a complex puzzle—tuning loss functions, adjusting kern...
Anything happening in AI today can be traced back to this one brief moment in history...
Share your favourite papers.
GPT ftw :)
If you want more papers like these, drop a "+1" comment below. I will notify these people in DMs next time I upload a new paper.
Bahdanau, Cho, and Bengio published a pivotal paper that reshaped the landscape of artificial intelligenc...
Why DeepSeek's AI innovations are blowing people's minds (and possibly threatening Nvidia's $2T market cap) in simple terms...
First, some context: Right now, training top AI models is INSANELY expensive. OpenAI, Anthropic, etc. spend...