Join millions using the Alison App – faster, easier, and made for learning on the move... 📲 Learn On The Go With
The Alison App
Explore
en
For BusinessGo PremiumAffiliate coin
Language icon en

Your Learner Verification

This is to verify that Kudzaiishe Chingombe has completed the course Tensor Flow Machine Learning Models on Alison.

Kudzaiishe Chingombe

Alison ID: 42952476

Course Completed: Tensor Flow Machine Learning Models

Date of Completion: 29th October 2026

Email: [email protected]

Total Study Time: 1h 22m

Final Assessment Score:

Alison courses requires at least
80% to pass the final assessment

84%
CPD Hours Completed:

CPD approved learning hours
completed through this course

1-2h

Course Information

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

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.

Modules Completed

Module 1: Data Pipelines and Text Processing
Module 2: Building Machine Learning Models
Module 3: Course assessment

Tell us why you need your learner verification?



professional/learner-record.learner_verification.Save