Deep Learning and Reinforcement Learning
Master deep learning and reinforcement learning concepts with hands-on implementation using neural networks and advanced AI techniques.
Master deep learning and reinforcement learning concepts with hands-on implementation using neural networks and advanced AI techniques.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Machine Learning Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(203 ratings)
31,169 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Understand neural network architectures and training
Implement CNNs for image processing tasks
Master RNNs and LSTMs for sequential data
Apply transfer learning with pre-trained models
Create generative models using VAEs and GANs
Develop reinforcement learning solutions
Skills you'll gain
This course includes:
5.8 Hours PreRecorded video
24 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 9 modules in this course
This comprehensive course covers the fundamentals and advanced concepts of deep learning and reinforcement learning. Students learn about neural network architectures, including CNNs, RNNs, and LSTMs, along with modern techniques like transfer learning and GANs. The curriculum provides hands-on experience with Keras implementation, model optimization, and practical applications in image processing and AI. Special emphasis is placed on understanding both theoretical foundations and practical implementation.
Introduction to Neural Networks
Module 1 · 3 Hours to complete
Back Propagation Training and Keras
Module 2 · 3 Hours to complete
Neural Network Optimizers
Module 3 · 2 Hours to complete
Convolutional Neural Networks
Module 4 · 5 Hours to complete
Transfer Learning
Module 5 · 4 Hours to complete
Recurrent Neural Networks and Long-Short Term Memory Networks
Module 6 · 3 Hours to complete
Autoencoders
Module 7 · 3 Hours to complete
Generative Models and Applications of Deep Learning
Module 8 · 3 Hours to complete
Reinforcement Learning
Module 9 · 3 Hours to complete
Fee Structure
Instructors
Pioneering Data Scientist Bridging AI Research and Education
Dr. Joseph Santarcangelo, a Data Scientist at IBM, brings a unique blend of academic excellence and practical expertise to the field of data science and artificial intelligence. With a Ph.D. in Electrical Engineering, his groundbreaking research focused on the intersection of machine learning, signal processing, and computer vision to understand how video content influences human cognitive processes. At IBM, he has established himself as a prominent educator and course developer, creating comprehensive learning materials that have reached hundreds of thousands of students worldwide. His teaching portfolio encompasses a wide range of technical subjects, from foundational Python programming to advanced topics in artificial intelligence, machine learning, and computer vision. Santarcangelo's ability to translate complex technical concepts into accessible learning experiences has made him an influential figure in data science education, maintaining consistently high ratings from learners while continuing to push the boundaries of applied machine learning and artificial intelligence research.
Digital Content Delivery Lead at IBM with Extensive Experience in Information Technology Education
Mark J. Grover is a Digital Content Delivery Lead at IBM, specializing in the creation and delivery of online educational content. Before joining IBM, he was a full-time professor of computer technology at Cape Fear Community College in Wilmington, NC, where he coordinated the Information Security program and taught various courses including Computer Security and Network Administration. Grover has over 25 years of experience in information technology and has received accolades such as the Cisco Instructor of Excellence award and the Award for Excellence in Innovation from the University of North Carolina Wilmington. He is passionate about outdoor activities like camping and mountain biking, and enjoys spending time with his family.
Testimonials
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4.6 course rating
203 ratings
Frequently asked questions
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