Index
A
Absolute error
Accuracy
Activation functions
ReLU
sigmoid
tanh
AdaBoost
AlexNet
Anaconda
Anaconda navigator
Anaconda Python distribution
Apriori algorithm
Artificial neural networks (ANN)
regression
Artificial neuron
B
Backpropagation
Backpropagation through time (BPTT)
Bagging
Bayes theorem
Bias and variance
Biological neuron
Boosting
AdaBoost
decision stump
in Python
Bootstrap aggregation process
C
Class-conditional independence
Classification report
Classifying handwritten digits
Clustering
K-Means in Python
DBSCAN
image segmentation
middle blob
standard sklearn functions
value of k
randomly generated data
Comma-separated values (CSV) files
Computer vision (CV)
Conditional probability
Confusion matrix
Continuous variables
Convolutional neural networks (CNNs)
configuration
deep networks ...
Get Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
