Yonsei - Deep Learning for Business
5.0 /5- Offered byCoursera
Deep Learning for Business at Coursera Overview
Duration | 8 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Deep Learning for Business at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 8 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish, Romanian
Deep Learning for Business at Coursera Course details
- Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced 'self-learning' capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers. The second part focuses on the core technologies of DL and ML systems, which include NN (Neural Network), CNN (Convolutional NN), and RNN (Recurrent NN) systems. The third part focuses on four TensorFlow Playground projects, where experience on designing DL NNs can be gained using an easy and fun yet very powerful application called the TensorFlow Playground. This course was designed to help you build business strategies and enable you to conduct technical planning on new DL and ML services and products.
Deep Learning for Business at Coursera Curriculum
Deep Learning Products & Services
1.0 Introduction to Deep Learning for Business
1.1 Future Industry Evolution & Artificial Intelligence
1.2 IBM Watson
1.3 Amazon Echo, Echo Dot, Alexa
1.4 LettuceBot / 1.5 Athelas / 1.6 AIVA (Artificial Intelligence Virtual Artist) / 1.7 Apple watchOS 4, HomePod speaker
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Graded Quiz
Business with Deep Learning & Machine Learning
2.1 Business Considerations in the Machine Learning Era
2.2 Business Strategy with Machine Learning & Deep Learning
2.3 Why is Deep Learning Popular Now?
2.4 Characteristics of Businesses with DL & ML
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Graded Quiz
Deep Learning Computing Systems & Software
3.1 Deep Learning Open Source Software / 3.2 Google TensorFlow
3.3 Microsoft CNTK (Cognitive Toolkit) / 3.4 NVIDIA DGX-1
3.5 Google AlphaGo
3.6 ILSVRC (ImageNet Large Scale Visual Recognition Challenge)
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Graded Quiz
Basics of Deep Learning Neural Networks
4.1 What is Deep Learning & Machine Learning?
4.2 NN (Neural Network)
4.3 Neural Network Learning (Backpropagation)
Ungraded Quiz
Graded Quiz
Deep Learning with CNN & RNN
5.1 Deep Learning with CNN (Convolutional Neural Network)
5.2 Deep Learning with RNN (Recurrent Neural Network)
Ungraded Quiz
Graded Quiz
Deep Learning Project with TensorFlow Playground
6.1 Introduction to TensorFlow Playground
6.2 Project Setup, Project 1, and Project 2
6.3 Project 3 and Project 4
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