Foundations of Neural Networks
$49
ENROLL NOWCourse Overview
What You'll Learn
- This Specialization is intended for post-graduate students seeking to develop advanced skills in neural networks and deep learning.
- Through three courses, you will cover the mathematical theory behind neural networks, including feed-forward, convolutional, and recurrent architectures, as well as deep learning optimization, regularization techniques, unsupervised learning, and generative adversarial networks.
- This specialization prepares you to design, analyze, and deploy neural networks for practical applications in fields such as AI, machine learning, and data science, and equips you with the tools to address ethical considerations in AI systems.
This Specialization is intended for post-graduate students seeking to develop advanced skills in neural networks and deep learning. Through three courses, you will cover the mathematical theory behind neural networks, including feed-forward, convolutional, and recurrent architectures, as well as deep learning optimization, regularization techniques, unsupervised learning, and generative adversarial networks. You will also explore the ethical issues associated with neural network applications. By the end of the specialization, you will gain hands-on experience in formulating and implementing algorithms using Python, allowing you to apply theoretical concepts to real-world data. This specialization prepares you to design, analyze, and deploy neural networks for practical applications in fields such as AI, machine learning, and data science, and equips you with the tools to address ethical considerations in AI systems. As you progress, you'll be able to independently implement and evaluate a variety of neural network models, setting a strong foundation for a career in AI research or development.
Course FAQs
Is this an accredited online course?
Accreditation for 'Foundations of Neural Networks' is determined by the provider, Johns Hopkins University. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Foundations of Neural Networks' on the Johns Hopkins University online class platform, where you can complete your registration.
