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Machine Learning

Computer Vision

Transform images and videos into valuable data insights using cutting-edge neural networks and deep learning tools. Learn to classify objects, detect patterns, and solve real-world challenges in computer vision.
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Course Outcome
Learn to build Convolutional Neural Networks and use them for real-world image analysis.
Duration
40 hours
Level
Intermediate

Key Program Takeaways

Practical Use of the Keras Library
Learn to build and deploy image models with Keras, a leading deep learning framework.
Advanced Image Classification
Explore convolutional models and ResNet for tasks like object detection and analysis.
From Theory to Industry-Ready Solutions
Apply skills in a real-world project verifying ages from images with expert feedback.

Modules Overview

7 Modules
Module 1. Introduction
Module 2. Entry Assessment
2h
Module 3. Fully Connected Networks
3h
Module 4. Convolutional Neural Networks
2.5h
Module 5. Course Project
Module 6. Final Assessment
2h
Module 7. Conclusion
Our Experts
Our instructors are industry professionals and machine learning practitioners with real-world experience developing AI solutions for a variety of sectors. Their mission is to guide you through your first steps into the world of ML with clarity, support, and practical insights.

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