Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
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Video Description
Are you looking at implementing deep learning techniques in your data science projects? If yes, then this course is for you.
Deep learning has become one of the most popular and exciting fields of our time and age. Deep learning gives you unimaginably powerful insights into data.
This course is a blend of text, videos, code examples, quizzes, and a mini project which together makes your learning journey all the more exciting and truly rewarding. This course is meticulously designed and developed in order to empower you with all the right and relevant information on deep learning.
Let’s take a look at this learning journey. The course begins with an introduction to deep learning. You will then learn how to implement various neural networks such as convolutional neural network with R. Moving ahead, you will explore the advanced topics: H20 and MXNet. Finally, the course includes a case study that covers the MNIST image dataset.
By the end of this course, you will have a strong knowledge of deep learning techniques and will be able to implement in your real-world datasets.
Key Features
- Implement various neural networks with the help of real-world examples
- Gain mastery over the concepts you will learn by testing yourself with challenging assessments
- All the advanced techniques and concepts through a case study
Who this course is for
The course is intended for data science professionals who are familiar with R and machine learning.
