Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Stanford University

Deep Learning Full-Cycle Projects - Lecture 3

Stanford University via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Dive into a comprehensive lecture on full-cycle deep learning projects delivered by Andrew Ng and Kian Katanforoosh at Stanford University. Explore the essential steps of machine learning projects, focusing on voice-activated devices as a case study. Learn how to select an appropriate project, utilize visualization techniques, and address the unique challenges faced by millennials in the field. Gain insights into assessing project feasibility and tackling network problems. Engage with the discussion on various aspects of deep learning project development and management. Follow along with the course schedule and access additional resources through the provided Stanford CS230 website.

Syllabus

Introduction
Steps of an ML project
Voiceactivated devices
How to select a project
Visualization
Millennials
Feasibility
Network problem
Discussion

Taught by

Stanford Online

Reviews

Start your review of Deep Learning Full-Cycle Projects - Lecture 3

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.