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Mastering Neural Networks and Model Regularization
Learn advanced neural network techniques, from building networks from scratch to implementing CNNs with PyTorch for complex deep learning tasks.
Course Cost
Free course
Intermediate
Skill Level
14 Hours
Self-paced lessons
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 Applied Machine Learning Specialization 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.
English
What you'll learn
Build and optimize neural networks from scratch
Implement back-propagation and computational graphs
Master regularization techniques for model optimization
Develop CNNs using PyTorch for complex tasks
Apply deep learning to image and audio processing
Skills you'll gain
This course includes:
8 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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There are 5 modules in this course
This comprehensive course covers advanced neural network concepts and implementation, focusing on building networks from scratch and applying them to real-world problems. Students learn essential techniques in model regularization, including L1/L2 regularization and dropout. The curriculum includes practical implementation using PyTorch, convolutional neural networks for image and audio processing, and optimization techniques for enhanced model performance.
Course Introduction
Module 1 · 10 Minutes to complete
Multilayer Artificial Neural Networks
Module 2 · 3 Hours to complete
Model Regularization
Module 3 · 3 Hours to complete
PyTorch
Module 4 · 3 Hours to complete
Convolutional Neural Networks
Module 5 · 5 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.