idw – Informationsdienst Wissenschaft
Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
Topics and contents:
- Deep Learning as a method of machine learning - basics and overview
- From materials science to deep learning - examples and applications
- Processing of tabular data with Artificial Neural Networks
- Exercise I: Development of a Convolutional Neural Network (CNN) for the classification of table data
- Processing of material science image data using convolution-based neural networks
- Exercise II: Development of convolution-based neural networks (CNN) for the classification of image data
- Exercise III: U-Net architectures for segmentation of material science image data
- Manual and synthetic generation of training data
Your benefit:
- After a short introduction, which is not mathematically in-depth, application examples of Deep Learning are developed together.
- You will learn how to implement and apply neural networks with the help of Python and suitable libraries. The focus is on the independent application of the developed models.
- By executing and modifying the provided scripts on your own, you will be able to directly apply the acquired knowledge in practice.
- After the participation you will know the possibilities and problems of machine learning, so that you can efficiently transfer and adapt the learned contents to your own data.
Information on participating / attending:
Lecture times:
1st - 5th day 9am-1pm
Required software tools for participation:
PUTTY (participants will receive installation instructions shortly before the training)
Date:
04/12/2021 09:00 - 04/16/2021 14:00
Event venue:
Online
Online
Nordrhein-Westfalen
Germany
Target group:
Business and commerce, Scientists and scholars
Email address:
Relevance:
international
Subject areas:
Materials sciences
Types of events:
Seminar / workshop / discussion
Entry:
02/02/2021
Sender/author:
Jörg Bähren
Department:
Kommunikation & Medien
Event is free:
no
Language of the text:
English
URL of this event: http://idw-online.de/en/event67857
Flyer - Machine Learning You can combine search terms with and, or and/or not, e.g. Philo not logy.
You can use brackets to separate combinations from each other, e.g. (Philo not logy) or (Psycho and logy).
Coherent groups of words will be located as complete phrases if you put them into quotation marks, e.g. “Federal Republic of Germany”.
You can also use the advanced search without entering search terms. It will then follow the criteria you have selected (e.g. country or subject area).
If you have not selected any criteria in a given category, the entire category will be searched (e.g. all subject areas or all countries).
