Working With the Keras Framework

Keras 2.4    |    Expert
  • 16 Videos | 57m 10s
  • Includes Assessment
  • Earns a Badge
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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

  • Playable
    1. 
    Course Overview
    2m 10s
    UP NEXT
  • Playable
    2. 
    Keras vs. Other Platforms
    2m 50s
  • Locked
    3. 
    Keras vs. Microsoft CNTK
    2m 38s
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    4. 
    Keras Sequential Model API
    2m 30s
  • Locked
    5. 
    Keras Functional API
    3m 55s
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    6. 
    Core and Convolutional Layers in Keras
    4m 20s
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    7. 
    Pooling and Recurrent Layers in Keras
    2m 49s
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    8. 
    Embedding Layers in Keras
    3m 12s
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    9. 
    Preprocessing in Keras
    3m
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    10. 
    Keras Model Training
    2m 54s
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    11. 
    Keras Model Evaluation
    3m 23s
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    12. 
    Sales Estimation Using Keras
    4m 1s
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    13. 
    Insurance Premium Estimation Using Keras
    3m 57s
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    14. 
    Cancer Prediction Using Keras
    3m 46s
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    15. 
    Loan Prediction Using Keras
    3m 49s
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    16. 
    Course Summary
    58s

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