IBM
AI Capstone Project with Deep Learning
IBM

AI Capstone Project with Deep Learning

This course is part of IBM AI Engineering Professional Certificate

Taught in English

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Alex Aklson
Joseph Santarcangelo

Instructors: Alex Aklson

24,445 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.5

(543 reviews)

Advanced level
Designed for those already in the industry
16 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Build a deep learning model to solve a real problem.

  • Execute the process of creating a deep learning pipeline.

  • Apply knowledge of deep learning to improve models using real data.

  • Demonstrate ability to present and communicate outcomes of deep learning projects.

Details to know

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Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.5

(543 reviews)

Advanced level
Designed for those already in the industry
16 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your Machine Learning expertise

This course is part of the IBM AI Engineering Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from IBM
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Earn a career certificate

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There are 4 modules in this course

In this module, you will get introduced to the problem that we will try to solve throughout the course. You will also learn how to load the image dataset, manipulate images, and visualize them.

What's included

4 videos3 quizzes2 app items

In this Module, you will mainly learn how to process image data and prepare it to build a classifier using pre-trained models.

What's included

1 video2 quizzes2 app items

In this Module, in the PyTorch part, you will learn how to build a linear classifier. In the Keras part, you will learn how to build an image classifier using the ResNet50 pre-trained model.

What's included

1 video2 quizzes2 app items

In this Module, in the PyTorch part, you will complete a peer review assessment where you will be asked to build an image classifier using the ResNet18 pre-trained model. In the Keras part, for the peer review assessment, you will be asked to build an image classifier using the VGG16 pre-trained model and compare its performance with the model that we built in the previous Module using the ResNet50 pre-trained model.

What's included

1 video2 peer reviews1 app item

Instructors

Instructor ratings
4.5 (85 ratings)
Alex Aklson
IBM
22 Courses1,086,073 learners

Offered by

IBM

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Learner reviews

Showing 3 of 543

4.5

543 reviews

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    18.53%

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  • 2 stars

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  • 1 star

    2.01%

TG
4

Reviewed on Jan 27, 2021

SS
5

Reviewed on Nov 17, 2020

HH
5

Reviewed on Feb 14, 2021

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