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Practical Convolutional Neural Networks
book

Practical Convolutional Neural Networks

by Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari
February 2018
Intermediate to advanced content levelIntermediate to advanced
218 pages
5h 31m
English
Packt Publishing
Content preview from Practical Convolutional Neural Networks

Reasons for sub-optimal performance of visual CNN models

The performance of a CNN network can be improved to a certain extent by adopting proper tuning and setup mechanisms such as: data pre-processing, batch normalization, optimal pre-initialization of weights; choosing the correct activation function; using techniques such as regularization to avoid overfitting; using an optimal optimization function; and training with plenty of (quality) data.

Beyond these training and architecture-related decisions, there are image-related nuances because of which the performance of visual models may be impacted. Even after controlling the aforementioned training and architectural factors, the conventional CNN-based image classifier does not work well ...

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Publisher Resources

ISBN: 9781788392303Supplemental Content