Book

Practical Convolutional Neural Networks

This book helps you master CNN, from the basics to the most advanced concepts in CNN such as GANs, instance classification and attention mechanism for vision models and more. You will implement advanced CNN models using complex image and video datasets. By the end of the book you will learn CNN’s best practices to implement smart ConvNet models and apply them to solve complex deep learning problems.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
7h16m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 7h16m total length

1. Deep Neural Networks - Overview
2. Introduction to Convolutional Neural Networks
3. Build Your First CNN and Performance Optimization
4. Popular CNN Model's Architectures
5. Transfer Learning
6. Autoencoders for CNN
7. Object Detection with CNN
8. Generative Adversarial Network
9. Visual Attention Based CNN

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