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Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
book

Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python

by Shamshad Ansari
July 2020
Intermediate to advanced
467 pages
9h 44m
English
Apress
Content preview from Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
Index
A
Accuracy
Accuracy vs. epoch
Activation function
AdaGrad optimizer
Adam optimization algorithm
Adaptive gradient algorithm (Adagrad)
Adaptive thresholding
add() function
AlexNet CNN architecture
features
illustration
Amazon Web Services (AWS)
definition
Horovod
MirroredStrategy
Application-specific integrated circuits (ASICs)
Arithmetic/bitwise operations
addition
AND
methods
NOT
OR
subtraction
XOR
Artificial intelligence (AI) system
Artificial neural network (ANN)
Artificial neuron
Artificial sensing device
Average pooling
B
Backpropagation method
Binarization
adaptive thresholding
Otsu’s
simple thresholding
Binary cross-entropy
build_cnn() function
C
calcHist() function
Canny edge detection
Cluster configuration
Color histogram
calculate
definition
equalizer
grayscale
RGB-based color ...
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Publisher Resources

ISBN: 9781484258873Purchase LinkPublisher Website