Deep Learning AI with Python and PyTorch (English) (Virtueel)
Startdata en plaatsen
placeVirtueel 2 apr. 2025 tot 3 apr. 2025Toon rooster event 2 april 2025, 08:45-16:00, Virtueel, Day 1 event 3 april 2025, 08:45-16:00, Virtueel, Day 2 |
placeVirtueel 16 jul. 2025 tot 17 jul. 2025Toon rooster event 16 juli 2025, 08:45-16:00, Virtueel, Day 1 event 17 juli 2025, 08:45-16:00, Virtueel, Day 2 |
Beschrijving
Lesmethode :
Virtueel
Algemeen :
Deep Learning with PyTorch is a comprehensive course designed to equip you with the essential knowledge and skills to describe, train and test (Deep) Neural Networks. The course uses PyTorch, an open source deep learning library which makes it possible to create high level machine learning models. Using interactive sessions and practical exercises, you will learn how to build and run your own networks using PyTorch.
Doel :
The primary goal of the "Deep Learning with Pytorch" course is to equip students with a fundamental understanding of deep learning concepts, specializing their knowledge and practical skills in the PyTorch framework. By the end of this cour…
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Lesmethode :
Virtueel
Algemeen :
Deep Learning with PyTorch is a comprehensive course designed to
equip you with the essential knowledge and skills to describe,
train and test (Deep) Neural Networks. The course uses PyTorch, an
open source deep learning library which makes it possible to create
high level machine learning models. Using interactive sessions and
practical exercises, you will learn how to build and run your own
networks using PyTorch.
Doel :
The primary goal of the "Deep Learning with Pytorch" course is
to equip students with a fundamental understanding of deep learning
concepts, specializing their knowledge and practical skills in the
PyTorch framework. By the end of this course, students will be
capable of designing, training, and optimizing a variety of deep
learning models using PyTorch.
Doelgroep :
This course is designed for individuals who are interested in
expanding their data science skillset or to those who want to
incorporate applications of machine learning in their current
job.
Voorkennis :
The following prior knowledge of Python programming is
required:
#Learn to Program in Python
#The Python Programming Language
Some experience in math (and mathematical insight) and data
handling is beneficial but not mandatory.
En de volgende cursussen:
- Python for data analysis - introduction to PANDAS (English)
Onderwerpen :
- What is Machine Learning
- The need for data
- Data transforms
- Tensors
- Linear Regression
- Autograd
- PyTorch Loss
- PyTorch Optimizers
- Convolutional Neural Networks
- Overtraining
- Recurrent Neural Networks
- Sentiment Prediction
- PyTorch Models
- Deployment
- Hugging Face ML Community
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Deel je ervaring
Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.