Deep Learning for Image Processing: From the theory to the Industry 4.0
What you will learn
Understand how a neural network learns and what it needs to learn well.
Tune your neural network and use the right techniques to solve common problems that occur in real industrial applications to ensure better performance.
Convolutional Neural Networks CNN and how they are used for image classification, object detection in images, and image segmentation.
Several industrial use cases and examples will be presented all along the course for a better understanding of real applications.
Syllabus
Chapter 1: Introduction to Machine Learning
What is Machine Learning?
Machine Learning and statistics
Types of Machine Learning models
Chapter 2: Introduction to Neural Networks
Differences between Machine Learning and Deep Learning
What is a Neural Network? and how does it learn?
Chapter 3: Convolutional Neural Networks
Introduction to convolutional neural networks
Structure and advantages of a convolutional neural network
Chapter 4: Training a neural network
Preparing the dataset and its annotation
Convergence and overfitting: Is my network learning well?
Chapter 5: Training tips and tricks
Training techniques: Common problems during the training and how to solve them
Chapter 6: Convolutional Neural Network for Object Detection
From Classification to Object Detection: an overview
Chapter 7: Convolutional Neural Network for Segmentation
From Classification to Segmentation: an overview
Prerequisites
Basic knowledge in mathematics and algebraÂ
Basic level in English
A PC and notebook
Target learners
Anyone wishing to acquire a specialization as a Deep Learning Engineer for image processing
Duration
32 hours in 2 months
Teaching mode: Hybrid
Start date: Saturday, 03 December 2022
End date: Saturday, 28 January 2023
Professor in charge
Prof. Karim Tout
Karim TOUT is the Head of AI at uqudo specializing in computer vision and digital identity. He has several years of experience leading AI teams and building AI-based computer vision products across diverse industries. He also provides expert consultancy and professional training on AI at Cetim France and teaches an AI Master course at the French-Azerbaijani University (UFAZ) as an invited professor.