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 algebra
- 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
Senior Computer Vision / Machine Learning Engineer at Uqudo. Karim received an engineering degree and a master degree in electrical and system control in 2014, followed by a PhD degree in Computer Vision in 2018. Karim worked for four years as an Industrial Postdoctoral Researcher on Computer Vision and Machine/Deep Learning projects. After that, Karim occupied the position of Lead Machine Learning Engineer at Cetim Grand Est managing a team of data engineers before joining Uqudo in 2022. Karim specializes in Computer Vision, Machine Learning, Deep Learning and Image Processing applied to industrial applications.
English