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Coupon & course info

Course Name: Unsupervised Deep Learning in Python

Subtitle: Autoencoders + Restricted Boltzmann Machines for Deep Neural Networks in Theano, + t-SNE and PCA

Instructor: Taught by Justin C, Data scientist and big data engineer

Category: Business

Subcategory: Data & Analytics

Provided by: Udemy

Price: $120 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of September 8, 2016…

Students: 537 students enrolled

Ratings: 20 reviews

Rank: ranked #167d in Udemy Business Courses

Brief course description

This course is the next logical step in my deep learning, data science, and machine learning series. I’ve done a lot of courses about deep learning, and I just released a course about unsupervised learning, where I talked about clustering and density estimation. So what do you get when you put these 2 together? Unsupervised deep learning!

In these course we’ll start with some very basic stuff – principal components analysis (PCA), and a popular nonlinear dimensionality reduction technique known as t-SNE (t-distributed stochastic neighbor embedding).

Next, we’ll look at a special type of unsupervised neural network called the autoencoder. After describing how an autoencoder works, I’ll show you how you can link a bunch of them together to form a deep stack of autoencoders, that leads to better performance of a supervised deep neural network. Autoencoders are like a non-linear form of PCA.

(Read more about this course on the official course page.)

Justin C bio

I am a data scientist, big data engineer, and full stack software engineer.

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: Intermediate Level

Lectures: 30 lessons

Duration: 3 hours of video

What you get: Understand the theory behind principal components analysis (PCA)

Target audience: Students and professionals looking to enhance their deep learning repertoire

Requirements: Knowledge of calculus and linear algebra

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons