Deep Learning: Getting Started
Who is this course for
IT and Software Professionals: Looking for a simplified introduction to deep learning without heavy math prerequisites.
Aspiring Data Scientists and AI Enthusiasts: Wanting to learn how to build deep learning models quickly.
Students and Researchers: Exploring deep learning as part of AI and machine learning studies.
Course Overview
Deep learning is revolutionizing AI, but for many, the learning curve can be steep. This course offers a simplified and practical introduction to deep learning, making it accessible to IT professionals, students, and AI enthusiasts. Instructor Kumaran Ponnambalam breaks down artificial neural networks, architectures, and essential deep learning concepts in an easy-to-understand way.
Through hands-on exercises, you'll build deep learning models in Keras, explore the key building blocks of neural networks, and apply your knowledge to solve a real-world problem. By the end of this course, you’ll have a strong foundation to begin working with deep learning in your projects.
What You'll Learn
- Clear explanations of deep learning concepts without complex mathematics.
- Hands-on experience with building neural networks using Keras.
- Step-by-step guidance through deep learning architectures and model development.
- A real-world deep learning problem to test and compare your solution with the instructor's.
