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Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python
book

Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python

by Jojo Moolayil
December 2018
Intermediate to advanced
192 pages
3h 50m
English
Apress
Content preview from Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python

Index

A

Activation function
Adaptive Moment Estimation (Adam)
Amazon Web Service Datasets
Artificial intelligence (AI)
ATM
definition
evolution
if-else rules

B

Baseline accuracy

C

Convolutional neural networks (CNNs)
CUDA-enabled graphics processing

D, E, F

Data dictionary
Assortment
CompetitionDistance
CompetitionOpenSince[Month/Year]
Customers
dataframes
mainstream task
Open
Promo
Promo2
Promo2Since[Year/Week]
PromoInterval
Sales
SchoolHoliday
StateHoliday
Store
StoreType
unique method
Data engineering
Boolean columns
categorical columns
data types
date-related features
date values
numeric feature
one-hot encoding
train, validation, and test
Data exploration
categorical features
barplot function
seaborn package
StoreType and Assortment
data dictionary
data types
variable df
import pandas
Jupyter ...
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Publisher Resources

ISBN: 9781484242407Purchase LinkPublisher Website