About this video
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
- Publication date:
- December 2018
- 1 hours 38 minutes