95% off Zero to Deep Learning™ with Python and Keras (Coupon)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Zero to Deep Learning™ with Python and Keras - Udemy Coupon

Get Discount


Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Zero to Deep Learning™ with Python and Keras

Subtitle: Understand and build Deep Learning models for images, text, sound and more using Python and Keras

Instructor: Taught by Data Weekends, Learn the essentials of Data Science in just one weekend

Category: Business

Subcategory: Business

Provided by: Udemy

Price: $200 (before discount)

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

Review info & popularity

As of October 20, 2017…

Students: 5,620 students enrolled students enrolled

Ratings: 502 reviews

Rank: ranked #43 in Udemy Business Courses

Brief course description

This course is designed to provide a complete introduction to Deep Learning. It is aimed at beginners and intermediate programmers and data scientists who are familiar with Python and want to understand and apply Deep Learning techniques to a variety of problems.

We start with a review of Deep Learning applications and a recap of Machine Learning tools and techniques. Then we introduce Artificial Neural Networks and explain how they are trained to solve Regression and Classification problems.

Over the rest of the course we introduce and explain several architectures including Fully Connected, Convolutional and Recurrent Neural Networks, and for each of these we explain both the theory and give plenty of example applications.

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

Data Weekends bio

Data Weekends™ are accelerated data science workshop for programmers where you can quickly learn to apply predictive analytics to real-world data. We offer courses in Data Analytics, Machine Learning, Deep Learning and Reinforcement Learning.

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

Recommended courses

If you like this course, you might also be interested in:


1. Deep Learning: GANs and Variational Autoencoders

Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow

Taught by Lazy Programmer Inc., Data scientist and big data engineer


2. Writing With Flair 2.0: The Art Of Exceptional Writing

The 2nd Edition Of Shani Raja’s Bestselling Course, Writing With Flair: How To Become An Exceptional Writer

Taught by Shani Raja, Ex-Wall Street Journal editor


3. Tableau Expert: Top Visualization Techniques in Tableau 10

Become An Expert In Tableau 10 – Master Visualisation Techniques Including Sankey Diagrams, Viola Charts And More

Taught by Ben Young, Oxford MBA and Tableau Professional


4. Data Science: Natural Language Processing (NLP) in Python

Complete guide to practical NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.

Taught by Lazy Programmer Inc., Data scientist and big data engineer


5. Facebook Ads for E-Commerce: The Complete Guide

Learn how to run Facebook and Instagram Ads with a 6 Figure Shopify Dropshipping Entrepreneur & Best Selling Instructor

Taught by Adam Reed, E-Commerce Entrepreneur and Best Selling Udemy Instructor

Final details for this Udemy course

Languages: English

Skill level: Intermediate Level

Lectures: 132 lessons

Duration: 9.5 hours of video

What you get: To describe what Deep Learning is in a simple yet accurate way

Target audience: Software engineers who are curious about data science and about the Deep Learning buzz and want to get a better understanding of it

Requirements: Knowledge of Python, familiarity with control flow (if/else, for loops) and pythonic constructs (functions, classes, iterables, generators)

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