Quetelet

4 ms·

1. 1.▲
   Ask HN: How to get started as contractor/consultant in niche area?

   2 points by Quetelet 7y ago|0 comments
2. 2.▲
   by Quetelet 7y ago

   Representation learning and probabilistic methods are huge sub-areas of modern machine learning, just take a look at the proceedings of ICLR2019.
3. 3.▲
   by Quetelet 7y ago

   These adversarial examples are generated in a very artificial way that will not be present in natural images (and if you’re thinking of security issues, the attacker needs access to your model...) They’re still an interesting topic to explo
4. 4.▲
   by Quetelet 7y ago

   You might be confusing the historical use of the sigmoid activation function with probabilistic modeling, neural networks in the 80s were used similarly to how they are today, albeit at a much smaller scale due to hardware limitations at th
5. 5.▲
   by Quetelet 7y ago

   Actually most modern neural networks are not probabilistic, they are deterministic function approximators. Also your point 3) isn’t quite correct either, often a “standard” architecture and training procedure (e.g. ResNet50 with Adam) will
6. 6.▲
   Ask HN: How to get started in Computer Vision?

   8 points by Quetelet 12y ago|1 comments