Coupon & course info
Course Name: Data Science: Practical Deep Learning in Theano + TensorFlow
Subtitle: Take deep learning to the next level with SGD, Nesterov momentum, RMSprop, Theano, TensorFlow, and using the GPU on AWS.
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: 853 students enrolled
Ratings: 46 reviews
Rank: ranked #173d in Udemy Business Courses
Brief course description
This course continues where my first course, Deep Learning in Python, left off. You already know how to build an artificial neural network in Python, and you have a plug-and-play script that you can use for TensorFlow. Neural networks are one of the staples of machine learning, and they are always a top contender in Kaggle contests. If you want to improve your skills with neural networks and deep learning, this is the course for you.
You already learned about backpropagation (and because of that, this course contains basically NO MATH), but there were a lot of unanswered questions. How can you modify it to improve training speed? In this course you will learn about batch and stochastic gradient descent, two commonly used techniques that allow you to train on just a small sample of the data at each iteration, greatly speeding up training time.
You will also learn about momentum, which can be helpful for carrying you through local minima and prevent you from having to be too conservative with your learning rate. You will also learn about adaptive learning rate techniques like AdaGrad and RMSprop which can also help speed up your training.
(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
Skill level: All Levels
Lectures: 23 lessons
Duration: 3 hours of video
What you get: Apply momentum to backpropagation to train neural networks
Target audience: Students and professionals who want to deepen their machine learning knowledge
Requirements: Be comfortable with Python, Numpy, and Matplotlib. Install Theano and TensorFlow.
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