In utils2.py, I got an error “layer_from_config not found”. I had to add “from keras.utils.layer_utils import layer_from_config” to bypass the error.
@jeremy The imagenet torrent size, you have provided is showing "147.90 GB ".
However the official page shows different size - 138 GB for training.
Is the torrent file same as training images ( task 1 and 2 ) below.
OK, thank you @jeremy, I am glad to know that, as I currently work locally on my computer.
Later I will try on the whole 147.90 GB of data to see the difference in term of accuracy.
I believe it would be interesting to develop a little more the thoughts on the Curse of Dimensionality you highlighted in Lesson 10 (48th minute - when justifying usage of cosine rather than euclidean for k-NN purposes)
I was a little confused :
Let’s say that the probability it sits right on the edge is 1/10, then if you go 1 dimension, you’ve got a probability of 1/10 that it’s on the edge in 1 dimension. In 3 dimensions, it’s basically multiplicatively decreasing the probability that that happens. So in a few hundred dimensional space, everything is on the edge.