Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Index

A

Acquisition function

Adam optimizer

Anaconda navigator

conda command

Create button

download and install

installing packages

Jupyter Notebook

left navigation pane

middle navigation pane

Not installed, drop-down menu

numpy

Python packages

screen

TensorFlow ( see TensorFlow)

ArcTan

Average pooling

B

Batch gradient descent

Bayes error

Bayesian optimization

acquisition function

black-box function

Gaussian processes

Nadaraya-Watson regression

prediction with Gaussian processes

stationary process

surrogate function

trigonometric function

UCB

Black-box functions

acquisition function

classes

global optimization

hyperparameters

neural network model

sample problem

Boston Standard Metropolitan Statistical Area (SMSA)

Broadcasting

C

Convolutional neural networks (CNNs)

building blocks ...