
772
|
索引
Deep Neuroevolution, 315
Deep Q-Learning
Double DQN, 614
Dueling DQN, 615
fixed Q-Value targets(固定 Q 值目標), 613
implementing(實作), 609
overview of(概要), 607
prioritized experience replay(經驗重播優先排
序), 614
variants of(變體), 613
deep Q-networks
(
DQNs
)
, 607, 624, 624
denoising autoencoders(去雜訊自動編碼網路),
558
dense layer(稠密層), 278
dense vectors(稠密向量), 536
density estimation(密度估計), 229, 258
depth concat layer(深度串接層), 453
depth radius(深度半徑), 452
depthwise separable convolution(深向可分離摺積
層), 459
deques, 609
development sets
(
dev sets
)
(開發組), 30
differencing, 489
dimensionality reduction(降維)
additional techniques(其他的技術), 226
approaches for(做法), 210-213
using clustering(使用分群法)