Deep Learning Essentials
Key Features
- Learn step-by-step without feeling overwhelmed
- Visual demos of neural networks and DL workflows
- Create your own deep learning models
- Earn an industry-recognized deep learning certification
About
Dive into the exciting world of Deep Learning (DL) and discover how machines mimic the human brain to solve complex problems. In this 30-day beginner-friendly course, you’ll explore neural networks, understand key concepts, and even build your own deep learning models.
Modules
- Day 1: What is Deep Learning?
- Day 2: The Inspiration: How the Brain Works
- Day 3: The Basics of Neural Networks
- Day 4: Activation Functions and How They Work
- Day 5: Deep Learning in Action
- Day 6: Quiz and Recap
- Day 7: Mini Project 1
- Day 8: Training Neural Networks
- Day 9: Introduction to Gradient Descent
- Day 10: The Role of Data in Deep Learning
- Day 11: Loss Functions and Model Evaluation
- Day 12: Hands-On: Training a Simple Neural Network
- Day 13: Quiz and Recap
- Day 14: Mini Project 2
- Day 15: Convolutional Neural Networks (CNNs)
- Day 16: Recurrent Neural Networks (RNNs)
- Day 17: Transfer Learning
- Day 18: Popular DL Frameworks
- Day 19: Real-Life Case Studies
- Day 20: Quiz and Recap
- Day 21: Mini Project 3
- Day 22: Building Your First Deep Learning Model
- Day 23: Hyperparameter Tuning
- Day 24: Ethical and Societal Implications of Deep Learning
- Day 25: Group Project Kickoff
- Day 26: Implementing the Group Project
- Day 27: Finalizing and Presenting Your Project
- Day 28: Course Review and Final Quiz
- Day 29: Certification and Portfolio Building
- Day 30: Q&A and Career Guidance Session