talk-data.com
Activities & events
| Title & Speakers | Event |
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Day 2 — April 6, 2025: Visual dataset curation with FiftyOne and iterative improvement of image classification models
2025-04-05 · 10:00
Antonio Rueda-Toicen
– AI Engineer
@ Hasso Plattner Institute
Day 2 focuses on visual dataset curation with FiftyOne and iterative improvement of image classification models. |
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Day 1 — April 5, 2025: Building and training neural networks with PyTorch
2025-04-05 · 10:00
Antonio Rueda-Toicen
– AI Engineer
@ Hasso Plattner Institute
Day 1 focuses on building and training neural networks with PyTorch. Learn to implement neural networks for image classification from scratch using PyTorch. |
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Day 2: Visual dataset curation with FiftyOne and iterative improvement of image classification models
2025-04-05 · 08:00
Antonio Rueda-Toicen
– AI Engineer
@ Hasso Plattner Institute
Focus on visual dataset curation with FiftyOne and iterative improvement of image classification models. |
|
|
Day 1: Building and training neural networks with PyTorch
2025-04-05 · 08:00
Antonio Rueda-Toicen
– AI Engineer
@ Hasso Plattner Institute
Focus on building and training neural networks with PyTorch. |
|
|
Visual dataset curation with FiftyVerse and iterative improvement of image classification models
2025-04-05 · 08:00
Antonio Rueda-Toicen
– AI Engineer
@ Hasso Plattner Institute
Day 2 focuses on visual dataset curation with FiftyOne and iterative improvement of image classification models. |
|
|
Building and training neural networks with PyTorch
2025-04-05 · 08:00
Antonio Rueda-Toicen
– AI Engineer
@ Hasso Plattner Institute
Day 1 focuses on building and training neural networks with PyTorch. |
|
|
Register for the FREE 2 day training course. Deep Learning Fundamentals with PyTorch and FiftyOne NVIDIA DLI Certification Workshop for Academia April 5-6\, 2025 \| 10 AM – 5 PM CET About the Workshop Note: This course is only available to university students, researchers and teaching staff. A valid university email address is required to obtain a certificate. This two day workshop is an extension of NVIDIA’s DLI Deep Learning Fundamentals Course. Learn to implement neural networks for image classification from scratch using PyTorch. Learn about stochastic gradient descent, multilayer perceptrons, convolutional neural networks, and transformers. We will explore data augmentation, workflow management, and dataset curation using FiftyOne, a powerful open source tool for image dataset curation. On the first day we will focus on building and training neural networks with PyTorch. On the second day we will focus on visual dataset curation with FiftyOne and iterative improvement of image classification models. Instructor Antonio Rueda-Toicen, an AI Engineer in Berlin, has extensive experience in deploying machine learning models and has taught over 300 professionals. He is currently a Research Scientist at the Hasso Plattner Institute. Antonio is a certified instructor of deep learning and diffusion models at NVIDIA’s Deep Learning Institute. Prerequisites
Technologies Used in the Workshop
Assessment Type Skills-based coding assessments evaluate students’ ability to train a deep learning model to classify images with high accuracy. Certificate Upon successful completion of the coding assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth. 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 server in the cloud. Language English |
April 5-6: FREE 2-Day Deep Learning Fundamentals NVIDIA DLI Certification Course
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Register for the FREE 2 day training course. Deep Learning Fundamentals with PyTorch and FiftyOne NVIDIA DLI Certification Workshop for Academia April 5-6\, 2025 \| 10 AM – 5 PM CET About the Workshop Note: This course is only available to university students, researchers and teaching staff. A valid university email address is required to obtain a certificate. This two day workshop is an extension of NVIDIA’s DLI Deep Learning Fundamentals Course. Learn to implement neural networks for image classification from scratch using PyTorch. Learn about stochastic gradient descent, multilayer perceptrons, convolutional neural networks, and transformers. We will explore data augmentation, workflow management, and dataset curation using FiftyOne, a powerful open source tool for image dataset curation. On the first day we will focus on building and training neural networks with PyTorch. On the second day we will focus on visual dataset curation with FiftyOne and iterative improvement of image classification models. Instructor Antonio Rueda-Toicen, an AI Engineer in Berlin, has extensive experience in deploying machine learning models and has taught over 300 professionals. He is currently a Research Scientist at the Hasso Plattner Institute. Antonio is a certified instructor of deep learning and diffusion models at NVIDIA’s Deep Learning Institute. Prerequisites
Technologies Used in the Workshop
Assessment Type Skills-based coding assessments evaluate students’ ability to train a deep learning model to classify images with high accuracy. Certificate Upon successful completion of the coding assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth. 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 server in the cloud. Language English |
April 5-6: FREE 2-Day Deep Learning Fundamentals NVIDIA DLI Certification Course
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Register for the FREE 2 day training course. Deep Learning Fundamentals with PyTorch and FiftyOne NVIDIA DLI Certification Workshop for Academia April 5-6\, 2025 \| 10 AM – 5 PM CET About the Workshop Note: This course is only available to university students, researchers and teaching staff. A valid university email address is required to obtain a certificate. This two day workshop is an extension of NVIDIA’s DLI Deep Learning Fundamentals Course. Learn to implement neural networks for image classification from scratch using PyTorch. Learn about stochastic gradient descent, multilayer perceptrons, convolutional neural networks, and transformers. We will explore data augmentation, workflow management, and dataset curation using FiftyOne, a powerful open source tool for image dataset curation. On the first day we will focus on building and training neural networks with PyTorch. On the second day we will focus on visual dataset curation with FiftyOne and iterative improvement of image classification models. Instructor Antonio Rueda-Toicen, an AI Engineer in Berlin, has extensive experience in deploying machine learning models and has taught over 300 professionals. He is currently a Research Scientist at the Hasso Plattner Institute. Antonio is a certified instructor of deep learning and diffusion models at NVIDIA’s Deep Learning Institute. Prerequisites
Technologies Used in the Workshop
Assessment Type Skills-based coding assessments evaluate students’ ability to train a deep learning model to classify images with high accuracy. Certificate Upon successful completion of the coding assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth. 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 server in the cloud. Language English |
April 5-6: FREE 2-Day Deep Learning Fundamentals NVIDIA DLI Certification Course
|
|
Register for the FREE 2 day training course. Deep Learning Fundamentals with PyTorch and FiftyOne NVIDIA DLI Certification Workshop for Academia April 5-6\, 2025 \| 10 AM – 5 PM CET About the Workshop Note: This course is only available to university students, researchers and teaching staff. A valid university email address is required to obtain a certificate. This two day workshop is an extension of NVIDIA’s DLI Deep Learning Fundamentals Course. Learn to implement neural networks for image classification from scratch using PyTorch. Learn about stochastic gradient descent, multilayer perceptrons, convolutional neural networks, and transformers. We will explore data augmentation, workflow management, and dataset curation using FiftyOne, a powerful open source tool for image dataset curation. On the first day we will focus on building and training neural networks with PyTorch. On the second day we will focus on visual dataset curation with FiftyOne and iterative improvement of image classification models. Instructor Antonio Rueda-Toicen, an AI Engineer in Berlin, has extensive experience in deploying machine learning models and has taught over 300 professionals. He is currently a Research Scientist at the Hasso Plattner Institute. Antonio is a certified instructor of deep learning and diffusion models at NVIDIA’s Deep Learning Institute. Prerequisites
Technologies Used in the Workshop
Assessment Type Skills-based coding assessments evaluate students’ ability to train a deep learning model to classify images with high accuracy. Certificate Upon successful completion of the coding assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth. 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 server in the cloud. Language English |
April 5-6: FREE 2-Day Deep Learning Fundamentals NVIDIA DLI Certification Course
|