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Reinforcement Learning with TensorFlow
book

Reinforcement Learning with TensorFlow

by Sayon Dutta
April 2018
Intermediate to advanced content levelIntermediate to advanced
334 pages
10h 18m
English
Packt Publishing
Content preview from Reinforcement Learning with TensorFlow

Fast R-CNN

Firstly, it was Fast R-CNN (proposed by Ross Girshick of Microsoft Research in 2015) that suggested the idea of sharing the convolution outputs among different regions of the image:

Fast R-CNN(https://arxiv.org/pdf/1504.08083.pdf) by Ross Girshick

In Fast R-CNN, an input image and multiple regions of interest are given as an input to a CNNs. Pooling of RoI is done to obtain a fixed-size feature map and then sent through fully connected layers (FCs) to obtain a feature vector. The R-CNN has two output vectors per regions of interest which are as follows:

  • Softmax probabilities
  • Per-class bounding-box regression offsets

Fast R-CNN ...

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Publisher Resources

ISBN: 9781788835725Supplemental Content