Deep Learning Specialization (original) (raw)

Looking to grow your skills and build a career in AI?

Join 1 million+ learners and #BeADeepLearner with the Deep Learning Specialization, a foundational online program by machine learning pioneer Andrew Ng.

You might be wondering if this is the right program for you, worried that you don’t have the time, or afraid that you won’t be able to keep up?

We understand that it can be daunting to start something new.

• Has clear, concise modules that allow for self-paced learning.

• Introduces practical techniques to help you get started on your AI projects and develop an industry portfolio.

• Has a 1 million-strong learner community that will support and guide you.

• Breaks down foundational concepts into easy-to-understand lectures and engaging assignments.

• Is up-to-date with the leading-edge in machine learning.

• Is rated 4.9 out of 5 by 120K+ learners and is among the most popular data science programs on Coursera

What Learners Are Saying

Don’t Let the Machine Learning Revolution Pass You By

#BeADeepLearner with the
Deep Learning Specialization.

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Instructors

Andrew Ng

Instructor

Founder, DeepLearning.AI; Co-founder, Coursera

Kian Katanforoosh

Curriculum Developer

Founder, Workera

Younes Bensouda Mourri

Instructor

Instructor of AI, Stanford University

• 5 Courses
• >2-6 months
• Intermediate

Skills you will gain

• Tensorflow
• Artificial Neural Networks
• Convolutional Neural Networks
• Recurrent Neural Networks
• Transformers
• Python Programming
• Deep Learning
• Backpropagation
• Optimization
• Hyperparameter Tuning
• Machine Learning
• Transfer Learning
• Multi-Task Learning
• Object Detection and Segmentation
• Facial Recognition System
• Gated Recurrent Unit (GRU)
• Long Short Term Memory (LSTM)
• Attention Models
• Natural Language Processing

Syllabus

Course Slides

You can download the annotated version of the course slides below.

*Note: The slides might not reflect the latest course video slides. Please refer to the lecture videos for the most up-to-date information. We encourage you to make your own notes.

Frequently Asked Questions