Deep Learning Specialization
Teacher
Prof. Dr. Nadeem AhmadLast Update
06-December-2025
- Discription
Course Overview
Taught by AI pioneer Andrew Ng, this specialization covers neural networks, CNNs, RNNs, and transformers. You’ll learn how to build and train deep learning models using TensorFlow and Keras. The course includes hands-on projects in computer vision, NLP, and sequence models.
Requirements
Before enrolling, ensure you meet the basic prerequisites. These may include foundational knowledge, necessary tools, or specific skills required to fully benefit from the course. Check the list of requirements to make sure you're prepared for a smooth learning experience!
- Python programming
- basic linear algebra
- familiarity with machine learning concepts
Description
This in-depth specialization consists of five courses, each focusing on a key aspect of deep learning. You’ll start with neural network fundamentals and progress to advanced topics like sequence models and attention mechanisms. The course includes real-world case studies, such as autonomous driving and medical image analysis. Andrew Ng’s clear teaching style makes complex topics accessible, making this a must-take for aspiring deep learning engineers.
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Category: AI & Machine Learning
Deep Learning Specialization
Category: AI & Machine Learning