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PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models
book

PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models

by Pradeepta Mishra
December 2022
Intermediate to advanced content levelIntermediate to advanced
282 pages
5h 1m
English
Apress
Content preview from PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models
Index
A, B
Activation functions
bilinear transformation
forward/backward propagation
hyperbolic tangent function
leaky ReLU
linear function
log sigmoid transfer function
mathematical function
matplotlib
rectified linear unit (ReLU)
sequential module
sigmoid function
softplus
tanh
TensorFlow
visualization
working process
Application programming interface (API)
Artificial neural network (ANN)
Audio/image processing tasks
filter bank
Griffin-Lim algorithm (GLA)
librosa mel scale conversion
librosa installation
loading data
MFCC/LFCC modules
spectogram
torchaudio module
Autoencoders function
architecture
fine-tune results
hyperbolic tangent function
testing
torchvision library
working process
C
Captum
installation
primary attribution
Central processing units (CPUs)
Computational linguistics ...
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Publisher Resources

ISBN: 9781484289259Purchase LinkPublisher Website