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Python class attributes and Python instance attributes.

A python class attribute is an attribute of the class, rather than an attribute of an instance of the class. Here is an example: class MyClass: # Depending the context # Access as local variable. class_att = 1 def __init__(self, x, y): # Depending on the context # access using dot syntax. self.x = x self.y = y inst1 = MyClass(1, 2) inst2 = MyClass(3,4) inst1.class_att inst2.class_att MyClass.att class vs instance namespace A namespace is a mapping from name to objects, with the property that there is zero relation ship between variables in different namespaces. class and instance have their own namespace. MyClass.__dict__ is different from inst.__dict__ . When you try to access an attribute inside one instance.lass, it first looks at its instance namespace. If it finds the attribute, it returns the associated value. If not, it then looks in the class namespace and returns the attribute (if it’s present, throw...

Object detection

Difference of regress losses in Both fast rcnn and faster rcnn fast rcnn. The bounding box regression is based on the region proposal (obtained from selective search) faster rcnn. The bounding box regression is based on anchor boxes (all the ground truth is also transformed based on anchor boxes)

Thesis writing note

Chapter 1 Description for projected light sensor 3D sensing Jabil time-of-flight sensing sloa Overview projected light sensor https://medium.com/advanced-computer-vision/3d-sensors-what-is-out-there-5e65fd3e8afe

Uknown words

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TO BE READ

URLs for the blogs and papers to be read Interesting materials NN history2 Spheral CNN extreme learned image compression differential plasticity neural autoregressive flow Paper weekly clone voice (startup company github) soccer and ML weekly supervised learning ( previous work ) loc2vec Large scale training implementation distribution training Reinforcement learning reinforcement learning atari https://eng.uber.com/accelerated-neuroevolution/ Semantic segmentation Introduction Medical imaging blog Interesting blog faster rcnn grid learning course material max welling attention model (CVPR 2017) cvpr 2017 list image caption graph lstm reweight samples speech recognition reddit speech recognition summary good paper for speed speech recognition word2vec Deep RL examples REG Embedding speaker embedding automonous driving SHELL thirteen skills for writting shell script

Network Structure: Backpropagation applied to handwritten zip code recognition

Image
Network description H1: 768(8*8*12) units, 1068 parameters(768+25*12)( bias associated with units, not kernel )

Common Words

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