Introduction to Application Development with TensorFlow and Keras Training

Level: Foundation

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.

Key Features of this Introduction to Application Development with TensorFlow and Keras Training:

  • After-course instructor coaching benefit

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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  • 2-day instructor led training course
  • One-on-one after-course instructor coaching
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Note: This course runs for 2 Days *

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Introduction to Application Development with TensorFlow and Keras Information

  • Who Should Attend 

    This course is designed for developers, analysts, and data scientists interested in developing applications using TensorFlow and Keras.

Introduction to Application Development with TensorFlow and Keras Outline

  • Lesson 1: Introduction to Neural Networks and Deep Learning

    • What are Neural Networks?
    • Configuring a Deep Learning Environment
  • Lesson 2: Model Architecture

    • Choosing the Right Model Architecture
    • Using Keras as a TensorFlow Interface
  • Lesson 3: Model Evaluation

    • Model Evaluation
    • Hyperparameter Optimisation
  • Lesson 4: Productization

    • Handling New Data
    • Deploying a Model as a Web Application

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TensorFlow and Keras FAQs

  • What is TensorFlow?

    TensorFlow is an open source library for numerical computation and it is used for large-scale machine learning. It uses Python as a front-end API for building applications with the framework, while executing those applications in high-performance C++.

  • What is Keras?

    Keras is a leading High-level API. It is written in python and was created to be user friendly and modular.

  • What is the difference between Keras and TensorFlow?

    Keras is a high level library that cannot live on it's own, while TensorFlow is a framework that can live on it's own.

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