About this course

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

About This Video

• Practical training to help you understand concepts better and relate to the concepts of Deep Learning for the real world.
• Holistic approach to installing Caffe on a fresh machine and training/deploying neural networks in relation to Deep Learning concepts
• Useful techniques to avoid common mistakes while using Caffe and make the best use of it in training and implementing your models

In Detail

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.