Introduction to Neural Networks and Deep Learning - Training Deep Neural Networks - Lecture 1
MIT OpenCourseWare via YouTube
Stuck in Tutorial Hell? Learn Backend Dev the Right Way
Pass the PMP® Exam on Your First Try — Expert-Led Training
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore the foundational concepts of neural networks and deep learning in this 57-minute lecture from MIT's Hands-On Deep Learning course. Delve into the historical development and background of the field while gaining comprehensive insights into the fundamental principles that underpin modern deep learning systems. Learn about the essential components of neural networks and discover the methodologies used for training deep neural networks effectively. Master the core theoretical framework that serves as the building blocks for advanced deep learning applications, providing you with the knowledge necessary to understand how these powerful computational models learn and adapt to solve complex problems.
Syllabus
1: Introduction to Neural Networks and Deep Learning; Training Deep NNs
Taught by
MIT OpenCourseWare