Welcome to the details page for the Deep Learning Specialization course. This course covers the foundational principles of deep learning and is designed for learners who have a basic understanding of machine learning.
Course Overview
- Duration: 6 months
- Skill Level: Intermediate
- Instructor: Andrew Ng, Coursera
Course Content
Week 1: Introduction to Deep Learning
- Deep Learning vs. Machine Learning
- Neural Networks
- Backpropagation
Week 2: Deep Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Training Deep Neural Networks
Week 3: Convolutional Neural Networks
- Image Classification
- Object Detection
- Convolutional Neural Network Architecture
Week 4: Recurrent Neural Networks
- Natural Language Processing
- Sequence Modeling
- RNNs for Language Modeling
Week 5: Regularization and Optimization
- Dropout
- Batch Normalization
- Adam Optimization
Week 6: Applications of Deep Learning
- Image Recognition
- Natural Language Processing
- Generative Adversarial Networks (GANs)
Course Highlights
- Hands-on Projects: Apply your knowledge to real-world problems through practical projects.
- Community Support: Engage with fellow learners and instructors in the course forums.
- Certification: Upon completion, receive a certificate of achievement from Coursera.
Related Resources
For more information on deep learning, check out our Deep Learning Library.