Tensor Flow Machine Learning Models | Free Course | Alison
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Tensor Flow Machine Learning Models

Learn about building machine learning models, data pipelines and text processing in this free online course.

Data Science
Free Course
This free online course on Tensor Flow machine learning models will introduce you to the key operations on tensors in the context of deep learning. You will also be introduced to data pipeline building for Tensorflow and text processing with Tensorflow. You will also be introduced to the different methods TensorFlow API can be used to build machine learning models as well as the concept and importance of saving and restoring models.
  • Duration

    4-5 Hours
  • Assessment

    Yes
  • Certification

    Yes
  • Responsive

    Yes
  • Publisher

    NPTEL

Description

Modules

Outcome

Certification

View course modules

Description

This free online course in Tensor Flow machine learning models will begin by introducing you to the mathematical aspects of deep learning. You will also be introduced to the tensors encountered in machine learning practice, the key tensor operations in deep learning and the basics of training and regularization in deep learning. This course explains how to build input pipelines for TensorFlow and the various methods of creating datasets.

The course then introduces the process for text processing with Tensorflow. You will also learn about the concept of tokenization, the function of tokenizers, embedding, text operations and the conversion of strings. Next, you will learn how to load text into datasets, encode datasets into numbers, and how to build a vocabulary set.

The course then explains how to build a neural network model for an image classification task using Tensorflow Keras API. You will also learn about the feed-forward neural network and the fashion MNIST data set. This course analyzes the process and significance of building models for structured data using TensorFlow API. You will also learn about the types of feature columns and demonstrate how to transform a column from the data frame.

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Learning Outcomes

Upon successful completion of this course, you will be able to:


  • Discuss the key operations in neural networks and their functions
  • Explain momentum-based strategies and its applications
  • Analyze the mathematical foundations of deep learning
  • Explain the two distinct ways of creating data sets
  • Explain the process of using TensorFlow API to build a deep learning model for regression problems
  • Discuss how to build models for structured data using TensorFlow API
  • List and explain the types of feature columns 
  • Define model summary

Certification

All Alison courses are free to enrol, study and complete. To successfully complete this Certificate course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Certificate course, you have the option to acquire an official Certificate, which is a great way to share your achievement with the world. Your Alison Certificate is:

Ideal for sharing with potential employers - include it in your CV, professional social media profiles and job applications
An indication of your commitment to continuously learn, upskill and achieve high results
An incentive for you to continue empowering yourself through lifelong learning

Alison offers 3 types of Certificates for completed Certificate courses:

Digital Certificate - a downloadable Certificate in PDF format, immediately available to you when you complete your purchase
Certificate - a physical version of your officially branded and security-marked Certificate, posted to you with FREE shipping
Framed Certificate - a physical version of your officially branded and security-marked Certificate in a stylish frame, posted to you with FREE shipping

All Certificates are available to purchase through the Alison Shop. For more information on purchasing Alison Certificates, please visit our FAQs. If you decide not to purchase your Alison Certificate, you can still demonstrate your achievement by sharing your Learner Record or Learner Achievement Verification, both of which are accessible from your Dashboard. For more details on our Certificate pricing, please visit our Pricing Page.

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