modify : Pretraining VGG from scrach

woongjoonchoi · woongjoonchoi · commit af0854574700 · 2024-07-24T14:36:08.000+09:00
add packagge install code
diff --git a/beginner_source/Pretraining_Vgg_from_scratch.py b/beginner_source/Pretraining_Vgg_from_scratch.py
@@ -56,7 +56,7 @@
 # -  We train the model from scratch using only the configuration
 #    presented in the paper.
 # 
-#    -  we do not use future method, like Batch normalization,Adam , He
+#    -  we do not use future method, like ``Batch normalization``,Adam , He
 #       initialization.
 # 
 # -  You can apply to ImageNet Data.
@@ -150,7 +150,7 @@
 ######################################################################
 # We use ``CIFAR100`` Dataset in this tutorial. In VGG paper , the authors
 # scales image isotropically . Then , they apply
-# Normalization,``RandomCrop``,``HorizontalFlip`` . So , we need to override
+# ``Normalization``,``RandomCrop``,``HorizontalFlip`` . So , we need to override
 # CIFAR100 class to apply preprocessing.
 # 
 

Original file line number	Diff line number	Diff line change
`@@ -56,7 +56,7 @@`
`56`	`56`	`# - We train the model from scratch using only the configuration`
`57`	`57`	`# presented in the paper.`
`58`	`58`	`#`
`59`		`-# - we do not use future method, like Batch normalization,Adam , He`
	`59`	+# - we do not use future method, like ``Batch normalization``,Adam , He
`60`	`60`	`# initialization.`
`61`	`61`	`#`
`62`	`62`	`# - You can apply to ImageNet Data.`
`@@ -150,7 +150,7 @@`
`150`	`150`	`######################################################################`
`151`	`151`	# We use ``CIFAR100`` Dataset in this tutorial. In VGG paper , the authors
`152`	`152`	`# scales image isotropically . Then , they apply`
`153`		-# Normalization,``RandomCrop``,``HorizontalFlip`` . So , we need to override
	`153`	+# ``Normalization``,``RandomCrop``,``HorizontalFlip`` . So , we need to override
`154`	`154`	`# CIFAR100 class to apply preprocessing.`
`155`	`155`	`#`
`156`	`156`