TensorFlow is by far the most popular deep learning software package available today. This training covers all of the essentials of TensorFlow; and provides you with hands-on experience building a deep learning model using the TensorFlow library. Every line of code written during the course is analyzed to help you understand what can be a complicated process.
The lessons look at the key mathematical foundations of deep learning models, giving you insight into what makes these techniques work. Created for software engineers and budding data scientists, the course requires basic familiarity with Python programming; as well as statistics concepts such as linear and logistic regression, machine learning concepts like classification, and linear algebra. Jupyter Notebook is used to write and run code.
- Learn how to set up TensorFlow on your machine
- Master the ability to build a deep learning model that solves true-to-life problems
- Understand how to create and run a TensorFlow graph
- Understand the benefits of deep learning compared to traditional machine learning and when it should be used
- Become familiar with the "gotchas" of the TensorFlow library
- Learn how to debug programs when things go wrong
Table of contents
- Introduction To Deep Learning With Tensorflow
- Wrap Up 00:00:29
- Title: Introduction to Deep Learning Models With TensorFlow
- Release date: April 2017
- Publisher(s): Infinite Skills
- ISBN: 9781491977866
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