Google’s new free course on Deep Learning

Google has just released a new three-month free course on Deep Learning.–ud730

It aims to help data scientists get to grips with deep learning as well as TensorFlow — the in-house machine learning software that Google open sourced last November.  This is an intermediate to advanced level course offered as part of the Machine Learning Engineer Nanodegree program. To really understand the course, you had better first take a course in machine learning, and get familiar with supervised learning methods.


What is Deep Learning?

As a new area of Machine Learning research, Deep Learning has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence.  Deep Learning is about learning multiple levels of representation and abstraction that help to make sense of data such as images, sound, and text.   Some typical use cases of Deep Learning include

Sound Industry
Voice recognition UX/UI, Automotive, Security, IoT
Voice search Handset maker, Telecoms
Sentiment analysis CRM
Flaw detection (engine noise) Automotive, Aviation
Fraud detection (latent audio artifacts) Finance, Credit Cards
Time Series Industry
Log analysis/Risk detection Data centers, Security, Finance
Enterprise resource planning Manufacturing, Auto., Supply chain
Predictive analysis using sensor data IoT, Smart home, Hardware manufact
Business and Economic analytics Finance, Accounting, Government
Recommendation engine E-commerce, Media, Social Networks
Text Industry
Sentiment Analysis CRM, Social media, Reputation mgt.
Augmented search, Theme detection Finance
Thread detection Social media, Govt.
Fraud detection Insurance, Finance
Image Industry
Facial recognition
Image search Social media
Machine vision Automotive, aviation
Photo clustering Telecom, Handset makers
Video Industry
Motion detection Gaming, UX, UI
Real-time thread detection Security, Airports

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