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Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks
book

Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks

by Liangqu Long, Xiangming Zeng
January 2022
Intermediate to advanced
727 pages
14h 39m
English
Apress
Content preview from Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks
Index
A
A3C algorithm
Accuracy metric
Activation function
leaky ReLU
ReLU
Sigmoid
Tanh
Actor-Critic method
A3C
advantage
agent
code
error calculation
Actor network
agent.optimizer() function
AlexNet
Amazon’s Mechanical Turk system
Artificial general intelligence (AGI)
Artificial intelligence (AI)
definition
implementation
stages
Atari game environment
Atari game platform
Augmented reality (AR)
Autoencoder
adding noise
calculation method
data representation
denoising diagram
mapping relationship
and neural network
neural network parameterization
optimization goal
vs. PCA
training process
variants
adversarial autoencoder
dropout autoencoder
Autonomous driving
B
Back propagation algorithm
activation function, derivative
LeakyReLU function
ReLU function
Sigmoid
Tanh function
chain rule
common derivatives ...
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Publisher Resources

ISBN: 9781484279151Purchase LinkPublisher Website