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Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners
book

Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners

by Ekaba Bisong
September 2019
Intermediate to advanced
703 pages
13h 5m
English
Apress
Content preview from Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners

Index

A

Accuracy
Activation functions
hyperbolic tangent (tanh)
Leaky ReLU
Maxout
non-linear function
ReLU
sigmoid
Adaptive learning rates
Alpine Linux package
append() method
Area under the receiver operating curve (AUC-ROC)
argparse.ArgumentParser() method
Artificial neural network (ANN)
assign method
Autoencoder
architecture
defined
denoising
undercomplete
AutoML NLP
custom language classification model
SeeCustom language classification model
dataset, training
GCP

B

Backpropagation algorithm
Backpropagation through time (BPTT)
Bar plot
Batch gradient descent algorithm
Batch learning
Batch normalization
Beam programming
data processing pipeline
build/run
creation
preprocessing
pipeline transformation
I/O transforms
Pcollection
Ptransform
Bias vs. variance trade-Off
hidden layers
high ...
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Publisher Resources

ISBN: 9781484244708