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Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch
book

Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch

by Ashwin Pajankar, Aditya Joshi
March 2022
Intermediate to advanced
340 pages
6h 39m
English
Apress
Content preview from Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch
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 ...
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Publisher Resources

ISBN: 9781484279212Purchase LinkPublisher Website