• Online, Self-Paced
Course Description

In this Aspire Journey lab, you will perform advanced ML/DL app architecture tasks using Python, such as loading a data set to train a simple multilayer perceptron (MLP), a Convolutional Neural Network (CNN) and an LSTM model. Then, test your skills by answering assessment questions after performing image and text classification using CNN.

This lab provides access to several tools commonly used in machine learning, including:

• Microsoft Excel 2016

• Visual Studio Code

• Anaconda

• Jupyter Notebook + JupyterHub

• Pandas, NumPy, SiPy

• Seaborn Library

• Spyder IDE

Learning Objectives

In this Aspire Journey lab, you will perform advanced ML/DL app architecture tasks using Python, such as loading a data set to train a simple multilayer perceptron (MLP), a Convolutional Neural Network (CNN) and an LSTM model. Then, test your skills by answering assessment questions after performing image and text classification using CNN.

This lab provides access to several tools commonly used in machine learning, including:

• Microsoft Excel 2016

• Visual Studio Code

• Anaconda

• Jupyter Notebook + JupyterHub

• Pandas, NumPy, SiPy

• Seaborn Library

• Spyder IDE

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Systems Architecture