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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
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
P. MishraPyTorch Recipeshttps://doi.org/10.1007/978-1-4842-8925-9_6

6. Fine-Tuning Deep Learning Models Using PyTorch

Pradeepta Mishra1  
(1)
Bangalore, Karnataka, India
 

Deep learning models have very deep roots in the way biological neurons are connected and the way they transmit information from one node to another node in a network model.

Deep learning has a very specific usage, particularly when single function–based machine learning techniques fail to approximate real-life challenges. For example, when a data dimension is very large (in the thousands), standard machine learning algorithms usually fail to predict or classify the outcome variable. They ...

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