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Deep Learning: Convolutional Neural Networks in Python - Udemy Coupon

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Coupon & course info

Course Name: Deep Learning: Convolutional Neural Networks in Python

Subtitle: Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow

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: 701 students enrolled

Ratings: 52 reviews

Rank: ranked #160d in Udemy Business Courses

Brief course description

This is the 3rd part in my Data Science and Machine Learning series on Deep Learning in Python. At this point, you already know a lot about neural networks and deep learning, including not just the basics like backpropagation, but how to improve it using modern techniques like momentum and adaptive learning rates. You’ve already written deep neural networks in Theano and TensorFlow, and you know how to run code using the GPU.

This course is all about how to use deep learning for computer vision using convolutional neural networks. These are the state of the art when it comes to image classification and they beat vanilla deep networks at tasks like MNIST.

In this course we are going to up the ante and look at the StreetView House Number (SVHN) dataset – which uses larger color images at various angles – so things are going to get tougher both computationally and in terms of the difficulty of the classification task. But we will show that convolutional neural networks, or CNNs, are capable of handling the challenge!

(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: Expert Level

Lectures: 24 lessons

Duration: 3 hours of video

What you get: Understand convolution

Target audience: Students and professional computer scientists

Requirements: Install Python, Numpy, Scipy, Matplotlib, Scikit Learn, 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