Course duration
- 2 days
Course Benefits
- Obtain a blueprint of the complete process for deploying a deep learning application: from environment setup to model deployment.
- Obtain a hands-on introduction to TensorFlow and Keras, popular technologies for building production-grade deep learning models.
- Get started with an example web application that uses an HTTP API interface to retrieve model predictions.
Course Outline
- Introduction to Neural Networks and Deep Learning
- What Are Neural Networks?
- Configuring a Deep Learning Environment
- Model Architecture
- Choosing the Right Model Architecture
- Using Keras as a TensorFlow Interface
- Model Evaluation and Evaluation
- Model Evaluation
- Hyperparameter Optimization
- Productization
- Handling New Data
- Deploying a Model as a Web Application
Class Materials
Each student will receive a comprehensive set of materials, including course notes and all the class examples.
Instructor-led courses are offered via a live Web connection, at client sites throughout Europe, and at our Geneva Training Center.