Practical convolutional neural networks

Practical convolutional neural networks: implement advanced deep learning models using Python

by Sewak, Mohit

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Title Statements

  • Full title :Practical convolutional neural networks : implement advanced deep learning models using Python / Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari.

Edition Statements

  • Publication Date:2018.

Publication Statements

  • Publisher(s):Packt Publishing
  • Place of Publication:Birmingham, UK
  • Language:eng
  • Publication Date:2018.

The Physical Object

  • Description:v, 199 pages : : illustrations ; : 24 cm

Edition Identifiers

  • ISBN:1788392302, 9781788392303
  • oclc:on1016051951
  • LC Classification:QA76.87

Table of Contents

Chapter 1: Deep Neural Networks - Overview -- chapter 2: Introduction to Convolutional Neural Networks -- chapter 3: Build Your First CNN and Performance Optimization -- chapter 4: Popular CNN Model Architectures -- chapter 5: Transfer Learning -- chapter 6: Autoencoders for CNN -- chapter 7: Object detection and instance segmentation with CNN -- chapter 8: GAN: Generating New Images with CNN -- chapter 9: Attention mechanism for CNN and visual models.

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Subjects

Apprentissage automatique Computer vision Machine learning Neural networks (Computer science) Python (Computer program language) Python (Langage de programmation) Réseaux neuronaux (Informatique) Vision par ordinateur

Writers

Sewak, Mohit Karim, Md. Rezaul Pujari, Pradeep

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