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 BusinessYonsei University
About this Course
Skills you will gain
- Artificial Intelligence (AI)
- Artificial Neural Network
- Machine Learning
- Deep Learning
Syllabus - What you will learn from this course
Deep Learning Products & Services
Business with Deep Learning & Machine Learning
Deep Learning Computing Systems & Software
Basics of Deep Learning Neural Networks
- 5 stars60.74%
- 4 stars26.79%
- 3 stars7.16%
- 2 stars3.27%
- 1 star2.02%
TOP REVIEWS FROM DEEP LEARNING FOR BUSINESS
Amazing lectures! Detailed description of each topic coupled with mind blowing graded assignments! :)
Thanks a real bunch, Coursera for offering this courses & of course, scholarship!
Thank you for providing very clear ideas for the deep learning! With the understanding from course, we could keep going on further deep learning related topics.
Great pace and information. There is no giveaways. You really have to pay attention to the topic and take notes. Otherwise, the quizzes will kick your ass.
Content is complete and cover a huge scope. Improvement could come from using the Tensor flow earlier in the course to get better representation of the outcome and more hands on.
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