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
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.)
If you like this course, you might also be interested in:
Take deep learning to the next level with SGD, Nesterov momentum, RMSprop, Theano, TensorFlow, and using the GPU on AWS.
Taught by Justin C, Data scientist and big data engineer
Simple Strategies and Proven Techniques to Be More Productive and Get the Most Out of Every Writing Day
Taught by Jessica Brody, International Bestselling Author, Screenwriter & Story Coach
Step by Step, easy to comprehend guide on how to use Excel PivotTables with examples
Taught by – IntellPath -, Your path to success
Launch a successful home based business
Taught by Frici Barabas, Economist, Instructor, Marketer, Founder @ Digital Lifestyle
Learn how to create a successful mobile app business without prior experience.
Taught by Michael Assadi, App business owner, Entrepreneur
Final details for this Udemy course
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