Contabilidad Intermedia De Juan Funes Orellana Pdf 274
Médico y cirujano, profesor de Medicina y cirujano,
elaboró su tesis doctoral en la Facultad de Medicina de la Universidad de la República.
En el libro La Inquisición Mal .
Triple S
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Triple S
Q:
How to initialize weights and biases when training the TensorFlow Object Detection API?
In the TensorFlow Object Detection API, every weight and bias is initialized to 0.1.
I can construct the graph the same way with an existing object detection framework like Detectron2, but I want to keep everything in TensorFlow so that I can use it in my own projects.
Every object detection framework’s code makes heavy use of tf.get_variable_names() to figure out all variables to initialize. How would I find all of the variables in TF Object Detection API and what are the names of the parameters in TF Object Detection API?
A:
From the offical object detection API here
Then use :
for var in tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES):
print(var.name)
and
for name in tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope=’/’):
print(name)
You will have to do some fiddling, since the names for these two are different.
but in my experience usually it is something like this
for name in tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES, scope=’object_detection/’):
print(name)
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Tittle 13 December 2014:
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