Working With the Keras Framework

Keras 2.4    |    Expert
  • 16 videos | 50m 10s
  • Includes Assessment
  • Earns a Badge
Rating 4.1 of 7 users Rating 4.1 of 7 users (7)
Keras provides a quick way to implement, train, and evaluate robust neural networks in Python. Using Keras for AI development for prototyping AI is standard practice and AI practitioners need to know why and how to use Keras for particular AI implementations. In this course, you'll explore advanced techniques for working with the Keras framework. You'll recognize how Keras is different from other AI frameworks and identify cases in which it is advantageous to use Keras. You'll examine the functionality of the Keras Sequential model and Functional API and the role of multiple deep learning layers present in Keras. Finally, you will work with practical AI projects developed using Keras and troubleshoot common problems related to model training and evaluation.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Specify cases in which it is advantageous to use keras over other platforms
    Compare and contrast keras with ms cntk
    Describe keras sequential model api and specify how it is used for developing ai
    Describe how to create more complex ai models using the keras functional api
    Define core and convolutional layers, specifying their role in the overall neural network
    Define pooling and recurrent layers, specifying their role in the overall neural network
    Define the embedding layer, specifying its role in the overall neural network
  • Specify multiple techniques and approaches to preprocessing provided by keras
    Work with keras to create and train a feedforward neural network model and demonstrate its performance
    Work with keras evaluation tools to evaluate previously created neural networks
    Work with python to conduct exploratory data analysis on sales data and troubleshoot creating and training a neural network in keras using this data
    Work with python to conduct exploratory data analysis on insurance premium data and troubleshoot creating and training a neural network in keras using this data
    Work with python to conduct exploratory data analysis on cancer patient data and troubleshoot creating and training a neural network in keras using this data
    Work with python to conduct exploratory data analysis for loan approval data and troubleshoot creating and training a neural network in keras using this data
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 10s
  • 2m 50s
    After completing this video, you will be able to specify cases in which it is advantageous to use Keras over other platforms. FREE ACCESS
  • Locked
    3.  Keras vs. Microsoft CNTK
    2m 38s
    In this video, you will compare and contrast Keras with Microsoft's CNTK. FREE ACCESS
  • Locked
    4.  Keras Sequential Model API
    2m 30s
    After completing this video, you will be able to describe the Keras Sequential model API and specify how it is used for developing AI. FREE ACCESS
  • Locked
    5.  Keras Functional API
    3m 55s
    After completing this video, you will be able to describe how to create more complex AI models using the Keras functional API. FREE ACCESS
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    6.  Core and Convolutional Layers in Keras
    4m 20s
    Learn how to define core and convolutional layers, and their role in the overall neural network. FREE ACCESS
  • Locked
    7.  Pooling and Recurrent Layers in Keras
    2m 49s
    In this video, you will learn how to define pooling and recurrent layers, and how they are used in the overall neural network. FREE ACCESS
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    8.  Embedding Layers in Keras
    3m 12s
    Learn how to define the embedding layer and its role in the overall neural network. FREE ACCESS
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    9.  Preprocessing in Keras
    3m
    After completing this video, you will be able to specify multiple techniques and approaches to preprocessing provided by Keras. FREE ACCESS
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    10.  Keras Model Training
    2m 54s
    In this video, you will work with Keras to create and train a feedforward neural network model. You will also apply its performance. FREE ACCESS
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    11.  Keras Model Evaluation
    3m 23s
    In this video, you will learn how to use Keras evaluation tools to evaluate neural networks that you have already created. FREE ACCESS
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    12.  Sales Estimation Using Keras
    4m 1s
    In this video, you will work with Python to conduct exploratory data analysis on sales data and troubleshoot creating and training a neural network in Keras using this data. FREE ACCESS
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    13.  Insurance Premium Estimation Using Keras
    3m 57s
    In this video, you will learn how to work with Python to conduct exploratory data analysis on insurance premium data and troubleshoot creating and training a neural network in Keras using this data. FREE ACCESS
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    14.  Cancer Prediction Using Keras
    3m 46s
    In this video, you will learn how to work with Python to conduct exploratory data analysis on cancer patient data and troubleshoot creating and training a neural network in Keras using this data. FREE ACCESS
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    15.  Loan Prediction Using Keras
    3m 49s
    During this video, you will learn how to work with Python to conduct exploratory data analysis for loan approval data and troubleshoot creating and training a neural network in Keras using this data. FREE ACCESS
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    16.  Course Summary
    58s

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