Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

Index

A

Abstract reasoning

Activation function

hidden layers linear

multi-layer Perceptron network

neural units

neuron output

ReLU

AdadeltaOptimizer

AdagradOptimizer

AdamOptimizer

Adjacency matrix

connectedness of a graph

directed graph

undirected graph

vertex degree

Advanced neural networks

GANs

SeeGenerative adversarial networks (GANs)

image classification

image segmentation

SeeImage segmentation

localization network

object detection

R-CNN

SeeR-CNN

AlexNet

Analog signals

Anomaly detection

Aperiodicity

Artificial neural networks (ANN)

Artificial neuron

Attention

cross-attention

limitations

multi-head attention

scaled dot product

self-attention

Autoencoders

activation functions

architecture

complex nonlinear representations

cost function

denoising

element-wise activation function

feature ...