cynicaldevil

6 ms·

1. 31.▲
   by cynicaldevil 10y ago

   You seem to forget that the photos are labelled, which counts as supervised learning. What us humans excel at is unsupervised learning, which is difficult for machines. But yes, I agree that humans have the advantage of continuous video acc
2. 32.▲
   by cynicaldevil 10y ago

   I see. Could you link some articles about these techniques?
3. 33.▲
   by cynicaldevil 10y ago

   Even if we assume that a 5 year old has seen 1000-1500 pictures of say, cats, in his lifespan, it is still far less than the number of images required to train a CNN to label them as accurately as a human can. And of course, I am not talkin
4. 34.▲
   by cynicaldevil 10y ago

   I am new to CNNs/machine learning, but here's my $0.02: Regardless of which technique you use, it seems that the amount of data required to learn is too high. This article talks about neural networks accessing billions of photogra