Name: Introduction to Deep Learning for Computer Vision
Brand: MathWorks
Availability: OnlineOnly
Rating: 4.9 (7 reviews)

Back to Introduction to Deep Learning for Computer Vision

Learner Reviews & Feedback for Introduction to Deep Learning for Computer Vision by MathWorks

4.9

stars

18 ratings

About the Course

Starting with zero deep learning knowledge, this foundational course will guide you to effectively train cutting-edge models for image classification purposes. From analyzing medical images to recognizing traffic signs, classification is important for many applications. Classification models also serve as the backbone for more complicated object detection models. Through hands-on projects, you will train and evaluate models to classify street signs and identify the letters of American Sign Language. By completing this course, you will develop a strong foundation in deep learning for image analysis and will be equipped with the skills to tackle real-world computer vision challenges. By the end of this course, you will be able to: • Explain how deep learning networks find image features and make predictions • Retrain common models like GoogLeNet and ResNet for specific applications • Investigate model behavior to identify errors and determine potential fixes • Improve model performance by tuning hyperparameters • Complete the entire deep learning workflow in a final project For the duration of the course, you will have free access to MATLAB, software used by top employers worldwide. The courses draw on the applications using MATLAB, so you spend less time coding and more time applying deep learning concepts....

Top reviews

Filter by:

1 - 7 of 7 Reviews for Introduction to Deep Learning for Computer Vision

By jagan P

•

Sep 22, 2025

It's a great course for Deep learning through Matlab. But recommended to know some basics of neural network before starting this course and I would advice to start from the image processing and take the complete 9 courses. One comment to the timing of each courses. I spent almost twice the time as mentioned in the course due to software computation, bugs and so on. Also sometimes need to watch twice as videos made very concise and great. Definitely worth taking this course to gain some insight on computer vision for many scenarios like manufacturing industry to detect defects at the end of line, autonomous driving to detect pedestrians, cars, traffic lights...

By Jefferson O

•

Oct 28, 2025

El curso ofrece una excelente introducción práctica a la visión por ordenador con aprendizaje profundo. El proyecto de clasificación ASL fue muy útil para aplicar los conceptos de fine-tuning con ResNet-18. Las herramientas de MATLAB hacen que el entrenamiento sea intuitivo.

By Nithish S

•

Dec 25, 2025

One of the excellent courses in coursera- besides Mathworks is really giving in a quality content. I would definitely recommend this and other courses from them.