Source: ["Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn" by Simplilearn, Youtube]
Course Overview:
Welcome to Deep Learning - Full Course!
This course dives into deep learning, starting with the fundamentals of neural networks and progressing to advanced architectures like CNNs for image processing and RNNs for sequential data. It also explores more sophisticated topics such as GANs, autoencoders, and transfer learning, which are essential for cutting-edge AI research and applications.
Chapter 9: Basics of Neural Networks
Source: ["Artificial neural networks (ANN) - explained super simple" by TileStats, Youtube]
Exercise: - Watch this video and make some notes. Once done, go to the next chapter, Deep Learning Architectures.
Chapter 10: Deep Learning Architectures
Source: ["Modern Deep Learning Architecture" by Analytics Vidhya, Youtube]
Exercise: - Watch this video and make some notes. Once done, go to the next chapter, Advanced Topics in Deep Learning.
Chapter 11: Advanced Topics in Deep Learning
Source: ["Introduction to Deep Learning - 12. Advanced Deep Learning Topics (Summer 2020)" by Matthias Niessner, Youtube]
Exercise: 1. Watch this video and make some notes;
2. The next stage is an exam. You have 10 questions, with a total time of 10 minutes. To pass, you need to get 8 out of 10. You can retake it. Once you pass, you will have 1 minute to redeem your certificate by entering your full name correctly!
Exam (Redeem Certificate)
Results
Your score:
Summary
Now you can post your certificate on LinkedIn. You can also explore and learn next AI chapters, other programming languages from Skill-Based Roadmaps or choose a career path from Role-Based Roadmaps.