Common Pitfalls in Computer Vision Project
Offered By: WeAreDevelopers via YouTube
Course Description
Overview
Explore common mistakes in developing transfer learning solutions for computer vision projects and learn effective strategies to overcome them in this 45-minute conference talk. Gain insights into unboxing the black-box-like behavior of Convolutional Neural Networks (CNNs) as Ronald Luc and Sanchit Singh share their expertise on stage. Discover valuable tips and best practices to enhance your computer vision projects and avoid typical pitfalls in the field.
Syllabus
Common Pitfalls in Computer Vision Project—Ronald Luc & Sanchit Singh
Taught by
WeAreDevelopers
Related Courses
Structuring Machine Learning ProjectsDeepLearning.AI via Coursera Natural Language Processing on Google Cloud
Google Cloud via Coursera Introduction to Learning Transfer and Life Long Learning (3L)
University of California, Irvine via Coursera Advanced Deployment Scenarios with TensorFlow
DeepLearning.AI via Coursera Neural Style Transfer with TensorFlow
Coursera Project Network via Coursera