How to Get Started With Deep Learning for Computer Vision (7-Day Mini-Course)
Last Updated on April 2, 2020
Deep Learning for Computer Vision Crash Course.
Bring Deep Learning Methods to Your Computer Vision Project in 7 Days.
We are awash in digital images from photos, videos, Instagram, YouTube, and increasingly live video streams.
Working with image data is hard as it requires drawing upon knowledge from diverse domains such as digital signal processing, machine learning, statistical methods, and these days, deep learning.
Deep learning methods are out-competing the classical and statistical methods on some challenging computer vision problems with singular and simpler models.
In this crash course, you will discover how you can get started and confidently develop deep learning for computer vision problems using Python in seven days.
Note: This is a big and important post. You might want to bookmark it.
Let’s get started.
- Update Nov/2019: Updated for TensorFlow v2.0 and MTCNN v0.1.0.
How to Get Started With Deep Learning for Computer Vision (7-Day Mini-Course)
Photo by oliver.dodd, some rights reserved.