Slide 14
Slide 14 text
Deep Learning is Essentially Random Read
for (e=0; e < 90; e++):
# Shuffle
images = shuffle(images)
for (image, label) in images:
# Random read
img = image.open().read()
# Train model in GPU
loss = error(label, model(img))
model.backprop(loss)
Shuffle
Split
Feed
Repeat
Images sampled and composed from ImageNet-1000 dataset