What is an iteration in the MNIST demo? about caffe HOT 3 CLOSED

It is a single f-b pass over a training batch, so 100 iter with batch size
64 effectively goes through 6400 images.

Yangqing

On Tue, Jan 21, 2014 at 4:08 PM, pjreddie [email protected] wrote:

The website says the solver prints the training error every 100
iterations, what is an iteration? Is it a single forward-backward pass over
a training image? I see that batchsize is a parameter in lenet.prototxt,
are you doing batch gradient descent and then every iteration is actually
64 forward-backward passes and one weight update? Thanks!

—
Reply to this email directly or view it on GitHubhttps://github.com//issues/46
.

from caffe.

Thanks

from caffe.

I actually further question about this.

Caffe iteration is defined as a single f-b pass over a training batch, so 100 iter with batch size 64 effectively goes through 6400 images.

My quesstion is "6400images are not individual different 6400 images but they are 64 different images times 100".
Because if I set 64 different images in input as a 64size batch, with iteration 100, and once I run, I have no control over changing images during iteration in caffe.

from caffe.