Working With the Keras Framework


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

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.



Expected Duration (hours)
0.9

Lesson Objectives

Working With the Keras Framework

  • 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
  • Course Number:
    it_aiexksdj_01_enus

    Expertise Level
    Expert