Advanced Functionality of Microsoft Cognitive Toolkit (CNTK)

Microsoft Cognitive Toolkit (CNTK)    |    Expert
  • 15 videos | 47m 10s
  • Includes Assessment
  • Earns a Badge
Microsoft Cognitive Toolkit provides powerful machine learning and deep learning algorithms for developing AI. Knowing which problems are easier to solve using Microsoft CNTK over other frameworks helps AI practitioners decide on the best software stack for a given application. In this course, you'll explore advanced techniques for working with Microsoft CNTK and identify which cases benefit most from MS CNTK. You'll examine how to load and use external data using CNTK and how to use its imperative and declarative APIs. You'll recognize how to carry out common AI development tasks using CNTK, such as working with epochs and batch sizes, model serialization, model visualization, feedforward neural networks, and machine learning model evaluation. Finally, you'll implement a series of practical AI projects using Python and MS CNTK.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Specify cases in which it's advantageous to use cntk over other platforms
    Describe how to load and use external data using microsoft cntk
    Outline the cntk training process when called with an imperative api
    Outline the cntk training process when called with a declarative api
    Define epochs and batch sizes in cntk and specify how to choose the optimal values for best performance
    Recognize the model serialization process using cntk
    Identify how cntk can be used for model visualization
  • Use cntk to create and train a feedforward neural network and demonstrate its performance
    Work with cntk evaluation tools to evaluate previously created cntk machine learning models
    Use python to apply pre-processing techniques to diabetic patients' data and use this data to troubleshoot the creation and training of cntk machine learning classification models
    Use python to apply pre-processing techniques to credit rating data and use this data to troubleshoot the creation and training of cntk machine learning regression models
    Utilize python to apply pre-processing techniques to housing price data and use this data to troubleshoot the creation and training of cntk machine learning regression models
    " utilize python to apply pre-processing techniques to professional salary data and use this data to troubleshoot the creation and training of cntk machine learning classification models "
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 26s
  • 4m
    After completing this video, you will be able to specify cases in which it is advantageous to use CNTK over other platforms. FREE ACCESS
  • Locked
    3.  Working With Data in CNTK
    2m 38s
    After completing this video, you will be able to describe how to load and use external data using Microsoft's CNTK. FREE ACCESS
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    4.  CNTK Training Using Imperative APIs
    2m 29s
    In this video, find out how to outline the CNTK training process when called with an imperative API. FREE ACCESS
  • Locked
    5.  CNTK Training Using Declarative APIs
    2m 45s
    In this video, you will outline the CNTK training process when using the declarative API. FREE ACCESS
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    6.  Epochs and Batch Sizes in CNTK
    3m 47s
    In this video, you will learn how to define epochs and batch sizes in CNTK, and how to choose optimal values for best performance. FREE ACCESS
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    7.  Model Serialization Using CNTK
    2m 59s
    After completing this video, you will be able to recognize the model serialization process using CNTK. FREE ACCESS
  • Locked
    8.  Model Visualization Using CNTK
    3m 35s
    In this video, you will learn how to use CNTK for model visualization. FREE ACCESS
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    9.  CNTK Model Training
    3m 8s
    In this video, you will learn how to use CNTK to create and train a feedforward neural network and how to evaluate its performance. FREE ACCESS
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    10.  CNTK Model Evaluation
    3m 8s
    During this video, you will learn how to use CNTK evaluation tools to evaluate previously created CNTK machine learning models. FREE ACCESS
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    11.  Diabetes Prediction Using CNTK
    3m 31s
    Find out how to use Python to apply pre-processing techniques to data from diabetic patients and use this data to troubleshoot the creation and training of CNTK machine learning classification models. FREE ACCESS
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    12.  Credit Rating Prediction Using CNTK
    3m 45s
    In this video, you will learn how to use Python to apply pre-processing techniques to credit rating data and use this data to troubleshoot the creation and training of CNTK machine learning regression models. FREE ACCESS
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    13.  Housing Price Prediction Using CNTK
    4m 11s
    Find out how to use Python to apply pre-processing techniques to housing price data and use this data to troubleshoot the creation and training of CNTK machine learning regression models. FREE ACCESS
  • Locked
    14.  Salary Prediction Using CNTK
    3m 53s
    In this video, you will learn how to use Python to apply pre-processing techniques to professional salary data and use this data to troubleshoot the creation and training of CNTK machine learning classification models. FREE ACCESS
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    15.  Course Summary
    56s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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