Instructor: Ashraff Hathibelagal
As an application developer, you can't limit yourself to conventional programming techniques these days. Deep neural networks are slowly becoming a part of mainstream software, primarily because more and more users are starting to expect their apps and devices to be capable of recognizing patterns and making decisions in much the same way as humans do.
Fortunately, with TensorFlow, a fast, powerful, and open-source machine learning framework developed by Google, working with deep learning algorithms is far easier than you think. In this short course, Envato Tuts+ instructor Ashraff Hathibelagal shows you how to create, train, and evaluate a variety of deep neural networks using TensorFlow's high-level Keras API.
Excluding the introductory lessons and the conclusion, this repository has a directory for every lesson in this course. Each directory is named after the lesson it belongs to, and contains all the code written during the course, up to, and including, the lesson. Note that the datasets used in this course are not a part of this repository. You can get the latest versions of them from Kaggle.
These are source files for the Tuts+ course: Learn Machine Learning With TensorFlow
Available on Tuts+. Teaching skills to millions worldwide.