Opening book details…
Can I read Deep Learning for Computer Vision with Python 3-ImageNetBundle on EtoBox?
Deep Learning for Computer Vision with Python 3-ImageNetBundle by Adrian Rosebrock is a nonfiction available to read on EtoBox.
What is Deep Learning for Computer Vision with Python 3-ImageNetBundle about?
Welcome to the ImageNet Bundle of Deep Learning for Computer Vision with Python, the final volume in the series. This volume is meant to be the most advanced in terms of content, covering techniques that will enable you to reproduce results of state-of-the-art publications, papers, and talks. To help keep this work organized, I've structured the ImageNet Bundle in two parts. In the first part, we'll explore the ImageNet dataset in detail and learn how to train state-of-the art deep networks including AlexNet, VGGNet, GoogLeNet, ResNet, and SqueezeNet from scratch, obtaining as similar accuracies as possible as their respective original works. In order to accomplish this goal, we’ll need to call on all of our skills from the Starter Bundle and Practitioner Bundle. The second part of this book focuses on case studies – real-world applications of applying deep learning and computer vision to solve a particular problem. We'll first start off by training a CNN from scratch to recognition emotions/facial expressions of people in real-time video streams. From there we’ll use transfer learning via feature extraction to automatically detect and correct image orientation. A second case study
Who reads Deep Learning for Computer Vision with Python 3-ImageNetBundle?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Adrian Rosebrock
- Publisher
- PyImageSearch
- Published
- 2017
- Language
- EN
- Category
- nonfiction
- Subjects
- Computer Science, Algorithms And Data Structures, Stem