Python, Drupal, PHP, and R Training / Python Programming Training
Application Development with TensorFlow & Keras
Accelebrate's Application Development with TensorFlow & Keras training teaches attendees how to develop real-world machine learning applications powered by TensorFlow and Keras, popular technologies for building production-grade deep learning models. Students also learn how to use an HTTP API to retrieve model predictions.
Location and Pricing
Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.
TensorFlow & Keras Training Objectives
All students will:
TensorFlow & Keras Training Outline
Overview neural networks and deep learning
Organizing a project directory
Setting-up programming environment
Load and prepare Bitcoin dataset
Overview of a TensorFlow computation graph (i.e. a "model")
Overview of the Keras interface
Model Training and Evaluation
cl Training a model
Testing a model
Determining when to stop
Overview of an (extremely) simple Flask application
Creating an HTTP endpoint
Retrieving JSON results
All students should have programming experience, familiarity with Python 3, and basic knowledge of web-applications (i.e., how the HTTP protocol works). Knowledge of the following topics are useful, but not required:
All TensorFlow students receive comprehensive courseware covering all topics in the class.
Software needed for each student PC: