Module 4 - Introduction to Deep Learning


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Deep learning is a driving force for many of the artificial intelligence applications changing the world today in areas like image recognition, natural language processing (NLP), and self-driving cars. In this module, you will learn the basics of neural networks and dive into practical examples of deep learning, as well as new advances being made in the field. By the end of this module, you will be able to take a deep learning concept and be able to spot examples of its application in the real world.

Learning Outcomes
  • Identify applications of deep learning in practice
  • Describe the core differences between ANN, CNN, and RNN
  • Describe a GAN
  • Describe reinforcement learning
  • Select the appropriate deep learning algorithm for a potential application

Key:

Complete
Failed
Available
Locked
Session 1(Slides & Replay): Popular Applications of Deep Learning
Click on View to access the replay and the slides
Click on View to access the replay and the slides Slides and Replay of our first AI Foundations Course session Module 4.
Quiz 1: Popular Applications of Deep Learning
10 Questions  |  2 attempts  |  8/10 points to pass
10 Questions  |  2 attempts  |  8/10 points to pass
Session 2(Slides & Replay): What’s Next for Deep Learning
Click on View to access the replay and the slides
Click on View to access the replay and the slides Slides and Replay of our second AI Foundations Course session Module 4.
Quiz 2: What’s Next for Deep Learning
10 Questions  |  2 attempts  |  8/10 points to pass
10 Questions  |  2 attempts  |  8/10 points to pass
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