Keras - a Neural Network Framework

Keras 2.4    |    Expert
  • 15 videos | 47m 30s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 13 users Rating 4.6 of 13 users (13)
Keras is a deep learning package suitable for beginners. Although it is applied in multiple standard deep learning use cases, it is also used by commercial-grade products. To facilitate this, Keras provides additional, flexible options on top of the well-known Sequential API, which allow you to customize and create various neural networks. To utilize this, however, requires a more in-depth knowledge of the Keras framework. In this course, you'll develop the core skills needed to work with the Keras framework. You'll explore the advantages and disadvantages of using Keras over other frameworks, and examine how Keras can be used with TensorFlow. You'll move on to recognize how Keras is used for machine learning and deep learning. Finally, you'll implement two deep learning projects using the Keras framework.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe the keras framework and define the main concepts needed to work with keras
    Specify how keras facilitates cognitive computing
    Specify how keras facilitates deep learning
    Outline the relationship between tensorflow and keras and identify how keras models can be optimized with tensorflow
    Recognize the benefits of using keras
    Describe how keras can be used with languages such as c/c++ and java
    Compare keras with other frameworks and define its advantages and disadvantages
  • Describe how to create machine learning models using keras
    Describe how to create deep learning models using keras
    Illustrate how to use keras in combination with cloud services
    Find key documents and resources for in-depth information about the keras framework
    Work with keras to implement sentiment analysis of twitter posts related to a us presidential debate
    Work with keras to implement a plant disease classifier
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 31s
  • 2m 28s
    Upon completion of this video, you will be able to describe the Keras framework and define the main concepts needed to work with Keras. FREE ACCESS
  • Locked
    3.  Cognitive Computing and Keras
    2m 6s
    Upon completion of this video, you will be able to specify how Keras facilitates cognitive computing. FREE ACCESS
  • Locked
    4.  Deep Learning and Keras
    1m 55s
    Upon completion of this video, you will be able to specify how Keras facilitates deep learning. FREE ACCESS
  • Locked
    5.  TensorFlow and Keras
    2m 4s
    In this video, you will outline the relationship between TensorFlow and Keras, and identify how Keras models can be optimized with TensorFlow. FREE ACCESS
  • Locked
    6.  Benefits of Using Keras
    2m 9s
    Upon completion of this video, you will be able to recognize the benefits of using Keras. FREE ACCESS
  • Locked
    7.  Keras: Support for Other Languages
    3m 23s
    After completing this video, you will be able to describe how Keras can be used with languages such as C++ and Java. FREE ACCESS
  • Locked
    8.  Keras and Other Frameworks
    3m
    In this video, find out how to compare Keras with other frameworks and define its advantages and disadvantages. FREE ACCESS
  • Locked
    9.  Machine Learning With Keras
    2m 15s
    Upon completion of this video, you will be able to describe how to create machine learning models using Keras. FREE ACCESS
  • Locked
    10.  Deep Learning With Keras
    4m 6s
    After completing this video, you will be able to describe how to create deep learning models using Keras. FREE ACCESS
  • Locked
    11.  Keras and the Cloud (AWS, GCP, and Azure)
    2m 14s
    After completing this video, you will be able to illustrate how to use Keras in combination with cloud services. FREE ACCESS
  • Locked
    12.  Keras Documentation, Community, and Tutorials
    38s
    In this video, you will learn how to find key documents and resources for in-depth information about the Keras framework. FREE ACCESS
  • Locked
    13.  Identifying Presidential Debate Twitter Sentiments
    9m 17s
    In this video, find out how to work with Keras to implement sentiment analysis of Twitter posts related to the US presidential debate. FREE ACCESS
  • Locked
    14.  Recognizing Plant Diseases Using Deep Learning
    9m 35s
    In this video, you will learn how to work with Keras to implement a plant disease classifier. FREE ACCESS
  • Locked
    15.  Course Summary
    48s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Course Image Generation with Stable Diffusion in Keras
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Book Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
Channel Introduction to Neural Networks Bootcamp
Rating 1.0 of 1 users Rating 1.0 of 1 users (1)

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

Course Working With Microsoft Cognitive Toolkit (CNTK)
Rating 4.3 of 6 users Rating 4.3 of 6 users (6)
Course Deep Learning for NLP: Transfer Learning
Rating 3.8 of 8 users Rating 3.8 of 8 users (8)
Course AI Framework Overview: AI Developer Role
Rating 4.2 of 54 users Rating 4.2 of 54 users (54)