This 2-day, hands-on TensorFlow and Keras course covers the development of a real-world application powered by TensorFlow and Keras. You'll get a hands-on introduction to TensorFlow and Keras, including model architecture and evaluation. By the end of the course, you will deploy the model as a real-world product: a web application (with an HTTP API) that uses Flask to make our model predictions available to the world.
TensorFlow is a popular software created by Google (and open source contributors) to facilitate the development of machine learning applications, particularly those that use deep learning. Keras is an interface that facilitates the development of deep learning models. If you are a developer, analyst, or data scientist interested in developing applications using TensorFlow and Keras, this course will give you the start you need.
You Will Learn How To:
- Build an application that generates predictions using a deep learning model.
- Improve the example model—either by adding more data, computing more features, or changing its architecture.
- Continuously increase the model's prediction accuracy, or create a completely new model, changing the core components of the application as you see fit.
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Who Should Attend
This course is designed for developers, analysts, and data scientists interested in developing applications using TensorFlow and Keras.