Tutorials & Demos

Get the most out of Deci’s platform. From webinars to guides, discover how you can deliver production-grade deep learning models faster than ever, with outstanding performance, and reduced cost-to-serve.

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  • Video

Ai4 Talk: The Importance of Model Design in Building Production-Grade CV Applications

Gain insights into how NAS can be leveraged to build production-grade models, accelerate time to market, and reduce inference compute costs.

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Deep Learning Meetup: Advances in Computer Vision

Learn how data scientists and AI developers can navigate new computer vision trends and tools to build and deploy successful CV applications.

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AMA: How to Select Semantic Segmentation Architectures for Production

Learn how to select the right semantic segmentation architecture and deploy it successfully to production.

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Webinar: How to Run Real Time Detection on 8 Live Streams Using 1 NVIDIA Jetson Xavier NX

AI video analytics are powered by computer vision models. Learn how to process in real time 8 video streams while using only 1 NVIDIA Jetson.

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How to Build State of the Art Computer Vision Models

Discover how to build SOTA computer vision models using the Deci platform powered by hardware-aware neural architecture search technology.

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How to Deliver Real-time Object Detection on a NVIDIA Jetson Device

Both connected to a NVIDIA Jetson Xavier NX, learn how our DeciDet ran almost 3 times faster while also delivering 1% better accuracy compared to YOLOX.

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Webinar: How to Select the Right CNN Architecture for Your Application

Take a deep dive into the intricate but critical stage of selecting convolutional neural network (CNN) architectures.

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Webinar: How to Achieve SOTA Accuracy & Runtime for Semantic Segmentation Models

Learn from real-world applications of SOTA semantic segmentation models on various HW and how to gain such results using open source tools.

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Webinar: How to Boost Inference Performance of Your YOLOX Model

Watch a walkthrough of a simple and fast way to optimize and deploy a YOLOX model (or any other deep learning model) in less than 15 minutes

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Webinar: Essential Techniques for Training Neural Networks

From knowledge distillation to EMA, learn the techniques that are ‘must-haves’ when it comes to your model training recipe.

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AMA: How to Reduce the Guesswork in Choosing the Right DL Model

Starting a deep learning project? Discover best practices for reducing time spent on model selection and optimization.

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AMA: How to Productize Deep Learning Models

Learn best practices for productizing your deep learning models, and successfully deploying them to production.

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GTC Talk: An End-to-End Walkthrough for Deploying Deep Learning Models on Jetson

Watch this technical session packed with practical tips and tricks from model selection & training tools to running successful inference at the edge.

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GTC Talk: How to Improve Model Efficiency with Hardware Aware Neural Architecture Search

Learn about the evolution of NAS technology and recent advances that are making NAS viable for industry applications and commercial usage.

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Webinar: How to Benchmark and Optimize Runtime Performance on Jetson

Want to get the most out of your NVIDIA Jetson devices? Watch this practical hands-on session that demonstrates a simple and easy process for benchmarking and optimizing your deep learning models for Jetson Nano and Xavier NX.

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Webinar: Engineering Best Practices for DL Deployment on NVIDIA Jetson Devices

Get tips for overcoming any deployment hurdles and achieving your performance targets on NVIDIA Jetson devices.

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[Webinar] SuperGradients: The New Open-Source Python Library for CV Models

SuperGradients is a free open-source library for training computer vision models based on PyTorch. Watch now to learn how to get started.

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Webinar: Can You Achieve GPU Performance When Running CNNs on a CPU?

Know how to maximize CPU compute power, enabling you to deploy larger models and implement new use cases on existing hardware.

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Webinar: How to Leverage Neural Architecture Search to Optimize Your Models

Neural Architecture Search (NAS) can generate neural networks that meet production constraints. Fill up the form to watch the webinar.

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Tutorial: How to Convert a PyTorch Model to ONNX in 5 Minutes

Using the`torch.onnx.export` function, learn how to convert a PyTorch model into an ONNX format. It only takes less than 5 minutes!

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Webinar: How to Accelerate and Deploy YOLOv5 in 15 Minutes

A hands-on webinar where you'll learn a simple and fast way to accelerate and deploy a YOLOv5 model (or any other deep learning model) in less than 15 minutes.

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Deci Platform Tutorial: How to Use Infery, a Python Runtime Engine

Infery lets you run inference locally or on edge devices with only 3 simple commands. Here's how to use it.

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Deci Platform Tutorial: How to Optimize a Model

Our product manager, Amir Servi, walks you through the process of optimizing a model in Deci's platform.

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Deci Platform Tutorial: How to Add a New Model

It only takes 2 minutes to add a new model to Deci's Deep Learning Development Platform.

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Webinar: How to Deploy Deep Learning Models to Production

Learn about the best practices for maximizing both resource utilization and performance of deep learning models in production.

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Webinar: How to Find the Correct Deep Learning Model for Your Task

Finding the correct deep learning model is important to reduce cost, enable edge AI, and improve UX. But how do you choose the right one?

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GTC Talk: The Challenges in Hardware-Aware Inference Optimization in Deep Learning

The increasing size of modern deep neural models makes it harder to meet cost-effective inference performance requirements without hardware-aware optimization.

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Webinar: Accelerate ResNet-50 Inference by Up to 5X with the Click of a Button

Our product manager demonstrates how to optimize inference of a ResNet-50 model by 5X and deploy it seamlessly to production.

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Demo: Deci Deep Learning Acceleration Platform

Together with our VP of AI, this demo takes you through a 10-min overview of the Deci Platform capabilities.

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