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Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow
book

Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow

by Hisham El-Amir, Mahmoud Hamdy
December 2019
Intermediate to advanced
563 pages
10h 34m
English
Apress
Content preview from Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow

Index

A

Activation functions
binary step function
deep learning model
linear activation function
mathematical equations
neural network architecture
perceptron and neural network
placement of
recap
ReLU function
role of
sigmoid/logistic activation function
swish activation function
works in neuron
Adadelta
Adaptive gradient
Adaptive moment estimation
Aggregation function
AND Boolean function
AND Boolean gate operation
Annotation
Artificial neural network (ANN)
Artificial neuron
Association rule learning
Atom extraction

B

Backpropagation
Backpropagation, convolution layer
Backpropagation through time (BPTT)
architecture
circled multiplication
cross-entropy loss
definition
feed backward
gradients
time step
variables
Bag-of-words (BoW) model
Batch gradient descent
concept
pros/cons
Batch ...
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Publisher Resources

ISBN: 9781484253496Purchase LinkPublisher Website