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

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...