Recurrent Neural Networks - Training Example
Offered By: Alfredo Canziani via YouTube
Course Description
Overview
Explore the intricacies of training Recurrent Neural Networks (RNNs) through a comprehensive 22-minute tutorial by Alfredo Canziani. Dive into a practical example that demonstrates the learning problem, coding techniques, and prototyping process for RNNs. Access the full project on GitHub to deepen your understanding of torch-based Video Tutorials, and examine the specific RNN training sample provided in the e-lab repository. Gain valuable insights into the implementation and optimization of RNNs for various applications in deep learning.
Syllabus
Introduction
Learning problem
Coding
Code
Prototype
Prototypes
Taught by
Alfredo Canziani
Tags
Related Courses
Design: Creation of Artifacts in SocietyUniversity of Pennsylvania via Coursera Design Thinking Action Lab
Stanford University via NovoEd Blended Learning: Personalizing Education for Students
New Teacher Center via Coursera Mobile Application Experiences Part 1: From a Domain to an App Idea
Massachusetts Institute of Technology via edX Usable Security
University of Maryland, College Park via Coursera