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Modern Deep Learning Techniques using TensorFlow Training

Course Overview

In this course, we first start with an introduction to Deep Learning. Then we will look at the TensorFlow framework and preview its main components as well as the overall API hierarchy. TensorFlow 2.x was launched with tight integration of Keras, eager execution by default, and Pythonic function execution, amongst other new features and improvements.

Next, we will discuss how to train on large datasets using the Dataset API; how to use feature columns to prepare the data for training; and how activation functions are needed in order for the model to be able to learn nonlinearities in the data.

We introduce the tf.keras API which is TensorFlow's high-level API for building and training deep learning models. We will explore the Sequential and Functional APIs and learn how to use them to create deep learning models.

Finally, we discuss how to deploy models and use them to solve a real world problem.

This course is delivered over 2 full days.

Key Information

Course Length
16 hours

Learning Method(s)
Online materials
Online assessment

For Individuals

Full Cost Price
£1,195.00

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  • Leverage artificial neural networks
  • Understand the strengths and limitations of TensorFlow
  • Use TensorFlow 2.x, from fundamentals to building blocks
  • Train, test, and evaluate a TensorFlow Model
  • Engineer features
  • Deploy a trained TensorFlow Model