4 AI for media · Zero to AI: A non
Using AI to understand the content of images · What is Deep Learning and how it solves challenges in Computer Vision · Detecting and labeling human faces · Creating original artworks with Deep Learning · AI for audio data: speech recognition, generation, and trigger word detection · Case study: automating the sorting of vegetables with a $1000 robot
https://d19npu3b8zepp3.cloudfront.net/assets/images/favicon.png?v=1
4 AI for media

This chapter covers:

Using AI to understand the content of images

What is Deep Learning and how it solves challenges in Computer Vision

Detecting and labeling human faces

Creating original artworks with Deep Learning

AI for audio data: speech recognition, generation, and trigger word detection

Case study: automating the sorting of vegetables with a $1000 robot

Images and videos are probably the richest for of data that us humans use to understand the world. Sadly, this precious source of data has largely been inaccessible until the 2010s: while cameras were getting better and better, computers still couldn’t understand the content of images. All of this changed when a new class of AI algorithms came on the scene. Deep Learning is a family of algorithms with unsurpassed (for now) learning power that can reach human-level accuracy in important tasks like detecting objects and faces in images. These abilities make it possible for businesses to supercharge their existing products with magical abilities, like automatically creating photo albums based on the content of images, or automate industrial processes.

4.1 Using computer vision to spruce up the real estate marketplace

4.1.1 The challenges of computer vision

4.2 AI for image classification: What is Deep Learning?

4.3 State of the art performance with small datasets: Transfer Learning.

4.4 Face recognition: teaching computers to recognize people

4.5 Content generation and Style Transfer

4.6 What to watch out for

4.7 AI for audio

4.8 Case study: optimizing agriculture with Deep Learning

4.8.1 Case questions

4.8.2 Case Discussion