C++ Deep Learning with Caffe [Video]

C++ Deep Learning with Caffe [Video]

Aman Angrish

Build, train, and deploy your models using the speed and efficiency of Caffe and get future-ready in the world of Deep Learning
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Video Description

Caffe is a popular Deep Learning library implemented in C++ and renowned for its speed and efficiency. This video course is for you if you are familiar with C++ and want to get started with Deep Learning using Caffe to train real-world models.

This course will teach you how Deep Learning functions and how the Caffe framework enhances the speed and performance of your model to make it smarter for real-world uses. You will learn practical skills about creating layers, configuring networks, training and deploying using Caffe (written in C++). You will also learn about some of the internals of Caffe. Throughout the course, you will work with practical examples to get a good training in Deep Learning.

By the end of this course, you will have the skills to build and train your own real-world Deep Learning models using Caffe.

The code bundle for this video course is available at - https://github.com/PacktPublishing/C-Deep-Learning-with-Caffe

Style and Approach

The course has been organized into layers. We start at the surface and keep digging deeper as we proceed. We adopt a practical approach, whereby you learn a concept and then put it into practice like “Peek under the Hood” for programmers who are familiar with C++. We also help you avoid common pitfalls most people encounter in Caffe

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What You Will Learn

  • Important Deep Learning concepts to get started with
  • Introduction to Caffe and its functionalities 
  • Relating Caffe to Deep Learning concepts 
  • Elements such as blob, network for model representation in Caffe 
  • Training neural network with Caffe's C++ API
  • Training, tweaking, and deploying Caffe as per your requirements
  • Avoiding common practical mistakes and pitfalls

Authors

Video Details

ISBN 139781788622684
Course Length1 hours 38 minutes
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