course overview
Overview
This course will provide you with a blueprint for how to build an application that generates predictions using a deep learning model. From there, you can continue to improve our example model—either by adding more data, computing more features, or changing its architecture—continuously increasing its prediction accuracy, or create a completely new model, changing the core components of the application as you see fit.
Audience
This course is designed for developers, analysts, and data scientists interested in developing applications using TensorFlow and Keras.
Skills Gained
By completing this course, you will:
Prerequisites
You need to have programming knowledge. We also assume your familiarity with Python 3 and basic knowledge of web-applications. You also need to have a prior understanding and working knowledge of linear algebra, probability, and statistics. This is a challenging course for developers, analysts, and data scientists who are looking to get to grips with Tensorflow in the context of real-world application development.
Two days
Outline
If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.
Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.
All $ prices are in USD unless it’s a NZ or AU date
SPVC = Self Paced Virtual Class
LVC = Live Virtual Class
Our clients have included prestigious national organisations such as Oxford University Press, multi-national private corporations such as JP Morgan and HSBC, as well as public sector institutions such as the Department of Defence and the Department of Health.
