Index
Symbols
1-gram model 280
5x2 cross-validation 219
7-Zip
URL 276
A
accuracy
versus classification error 59
accuracy 222
action-value function
about 712
greedy policy, computing from 720
action-value function estimation
with Monte Carlo (MC) 719
activation functions
logistic function 492, 493
Rectified linear unit (ReLU) 497, 498
reference link 499
selecting, for multilayer neural networks 491
softmax function 494
activation functions, selecting via tf.keras.activations
reference link 516
activations
computing, in RNN 603, 604, 605
AdaBoost
applying, scikit-learn used 269, 270, 271
AdaBoost recognition
about 264
Adaline
about 56
implementing, in Python 42, 43, 44, 45
Adaline implementation
converting, into algorithm for logistic regression 70, 71, 73
adaptive boosting
weak learner, leveraging via 264, 265
Adaptive Boosting (AdaBoost)
about 264
ADAptive...
