Fundamentals of Deep Learning Course
590,00 € + VAT
Date: 07.06.2024.
Trainer: Prof. Dr. Dubravko Ćulibrk
Course Type: ONLINE
Description
Businesses worldwide are using artificial intelligence (AI) to solve their greatest challenges. Join our AI course to learn the fundamental techniques and tools required to train a deep learning model, gain experience with common deep learning data types and model architectures, enhance datasets through data augmentation to improve model accuracy, leverage transfer learning between models to achieve efficient results with less data and computation and build confidence to take on your own project with a modern deep learning framework.
If you need more information about this course, you can check our description page HERE.
This is the first course in the AI courses series provided by Agile Serbia, and the first one in the series of NVIDIA certified courses.
Other NVIDIA courses that will be provided by Agile Serbia in autumn Agile Month are:
- Computer Vision for Industrial Inspection
- Generative AI With Diffusion Models
About The Trainer
Dubravko Ćulibrk
Acting Director, The Institute for Artificial Intelligence Research and Development of Serbia
You can check this extraordinary man and his achievements HERE.
Details
Course detailsCourse Language: English/Serbian (depending on the group) Max number of people: 20 Duration: 1 day (8 hours) Course type: Certification (by NVIDIA). Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth. Assessment type: Skills-based coding assessments evaluate students’ ability to train a deep learning model to high accuracy. | Technical detailsPrerequisites: An understanding of fundamental programming concepts in Python such as functions, loops, dictionaries, and arrays. Familiarity with Pandas data structures and an understanding of how to compute a regression line. Suggested materials to satisfy prerequisites: Codecademy Python course, Python Beginner’s Guide. Tools, libraries, and frameworks: Tensorflow, Keras, Pandas, NumPy Hardware Requirements: Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated workstation in the cloud. |
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