Convolutional Architecture Learning Framework

  • Instructor: Andrea Neumann
  • Lectures: 7
  • Students: 6216
  • Duration: 10 weeks

In this course by Academy Europe, we will learn how to use a deep learning framework named Caffe2 (Convolutional Architecture for Fast Feature Embedding). Moreover, we will understand the difference between traditional machine learning and deep learning, what are the new features in Caffe2 as compared to Caffe and the installation instructions for Caffe2.

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Before you proceed with this tutorial, we assume that you have prior knowledge about deep learning framework, machine learning library PyTorch and programming languages such as C++, Python and MATLAB. If you are novice to any of the technologies mentioned before, you can refer to the respective tutorials before beginning with this tutorial.

Before you start proceeding with this course on Academy Europe, we are assuming that you have a good aptitude and can think logically. You should want to try something different.

Ideal candidates for the course would typically possess:

– Discipline and attentiveness

– Ability to conduct research

– Ability to perform tasks with speed, efficiency, and accuracy

– Analytical judgment

– Patience to interpret technical/scientific data

– A willingness to learn, roll up your sleeves and work toward your dream!

– A computer, tablet or smartphone and an internet connection

– Basic computer skills


This tutorial is designed for those who have keen interest in learning about creating models and new algorithms for solving problems with the help of a modular and scalable deep learning framework, Caffe2. Furthermore, it is for the programmers who are eager to bring their creations to scale with the help of graphics processing units (GPUs) in the cloud or to common people on mobile with cross – platform libraries.

This course by Academy Europe aims at imparting quality education and training to students.

Academy Europe is dedicated to its students, their specific learning requirements, and their overall learning success.

This course is directed toward a student-centered, independent study, asynchronous learning approach.

After completing this course on Academy Europe, students will get self improvement  and promotion in their careers.

This course is based on at least two learning skills which are provided  to the users through audio & visuals, videos, verbal presentations and articles, all of which are asynchronized with distance education approach.

  • Caffe2 - Introduction 0/1

  • Caffe2 - Overview 0/1

  • Caffe2 - Installation 0/1

  • Caffe2 - Verifying Access to Pre-Trained Models 0/1

  • Image Classification Using Pre-Trained Model 0/1

  • Caffe2 - Creating Your Own Network 0/1

  • Caffe2 - Defining Complex Networks 0/1

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Andrea Neumann is an artificial intelligence instructor and course content presenter at Academy Europe. She is an expert in instructional design and teaching. She supplements her knowledge in E-learning and Educational Technology by using AI and TTS elements.

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