How to change the activation layer of a Pytorch pretrained network? Here is my code : print("All modules") for child in net.children(): if isinstance(chi
grails-3.3.x
ecore
gitlab-ee
bluetooth-gatt
linux-development
db2
jcodemodel
google-cloud-dataflow
abstract
selenium-webdriver
django-serializer
factory-boy
swift-package-manager
savepoints
ibm-cloud-iam
blender-2.67
react-portal
visitor-pattern
reviver-function
clojure-core.match
dosbox
elasticsearch-dsl">elasticsearch-dsl
scalaxb
google-maps-sdk-ios
android-architecture-components
superclass
thrax-grammer
google-developer-tools
tabular-form
nsurlsessionconfiguration