Introduction to Deep Learning
This free course offers a comprehensive introduction to deep learning, focusing on foundational concepts and techniques used to solve real-world problems. Learners will explore the evolution of deep learning, understand its applications, and see how it differs from traditional machine learning. The course covers artificial neural networks (ANNs), gradient descent, activation functions, and the role of deep learning across industries.
Who Should Take This Course:
Beginners interested in understanding deep learning and its applications. No prior experience is required, making it ideal for anyone starting their journey in AI.
What You Will Learn:
• History and evolution of deep learning
• Key differences between machine learning and deep learning
• Fundamentals of artificial neural networks
• Introduction to gradient descent and its optimization role
• Applications of deep learning in various fields
Why This Course Matters:
Deep learning is a pivotal technology driving AI advancements. Understanding its fundamentals is essential for anyone pursuing a career in AI or related fields. This course provides the foundation needed to build practical deep learning skills and prepare for advanced studies.