Deep learning (DL) is a complex structure of machine learning algorithms that enable unstructured data processing. Find out how to optimize the process with the oneDNN library and Intel processors. By providing the crucial building blocks for DL applications and frameworks, developers and data scientists can see improved performance and build DL applications faster. Get started here: https://intel.ly/3YUXlwS #DeepLearning #Developer #DataScientists
Intel Software’s Post
More Relevant Posts
-
AIStore is a storage system developed at Nvidia which aims at optimizing for deep learning workloads by using simple concepts such as HTTP redirect to provide faster I/O. https://lnkd.in/gZ2_Ya4m #distributedsystems #distributedcomputing
To view or add a comment, sign in
-
The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/4dcGR6M
To view or add a comment, sign in
-
Top Software&Web Development Voice | 85k+ Impressions | 8x Google Certified | 5x NVIDIA Certified | 3x Microsoft Azure Certified | 2x GitHub Certified | 1x Google Cloud Certified | Ex-GDSC Web Dev Lead | Cloud Lead MLSA
Successfully Completed the ‘Fundamentals of Deep Learning’ course offered by NVIDIA! This journey has been nothing short of enlightening, and I am eager to share my key takeaways: Mastered the Basics: I’ve learned the fundamental techniques and tools required to train a deep learning model💻 Dived Deep into Architectures: I’ve gained hands-on experience with common deep learning data types and model architectures 🧠 Augmented Data for Accuracy: I’ve learned how to enhance datasets through data augmentation to improve model accuracy📈 Leveraged Transfer Learning: I’ve discovered how to leverage transfer learning between models to achieve efficient results with less data and computation 🔄 Gained Confidence: I’ve built the confidence to take on my own project with a modern deep learning framework 🚀 I am open to collaborating on projects and initiatives, so feel free to reach out! Ayush Pandey , Sangita Mahala , Chaitanya Yadav, Abhishek kumar Prajapati ,Aman Jain ☁ ,Lavish Sheth and Will Ramey #DeepLearning #NVIDIA #AI #DataScience #MachineLearning #TransferLearning #DataAugmentation
To view or add a comment, sign in
-
The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/3N2985n
To view or add a comment, sign in
-
Google's announcement of #TransformerFAM signals a breakthrough in deep learning architecture. •#Transformers face limitations due to quadratic attention complexity, hindering their ability to process infinitely long inputs. •The proposed Feedback Attention Memory (FAM) architecture introduces a feedback loop, allowing the network to attend to its latent representations. •Experiments demonstrate that TransformerFAM significantly enhances performance on long-context tasks across various model sizes (1B, 8B, and 24B), indicating the potential for empowering #LLMs to process sequences of unlimited length. Link to Paper-https👉://https://lnkd.in/g43ghwDD
To view or add a comment, sign in
-
The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/4gA5tt1
To view or add a comment, sign in
-
Technology Professional | Former Field/Sales Application Engineer at Intel | Expert in IT Solutions, Engineering, and Strategic Account Management | Driving Innovation and Customer Success
The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/3B1JB9u
To view or add a comment, sign in
-
The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/47B8nJI
To view or add a comment, sign in
-
The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/4d6H1wr
To view or add a comment, sign in
-
The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/4e3lYvT
To view or add a comment, sign in
61,821 followers
Twitch & Kick Yayıncısı | İçerik Üretiminde Uzman | Stratejik Sponsorluk ve İşbirlikleri Arayışında
2moDeep learning has come a long way, and optimizing it with tools like the oneDNN library on Intel processors is a game-changer. It’s impressive how such advancements can enhance performance and streamline the development of DL applications. For those diving into deep learning, this resource looks like a fantastic way to boost efficiency and accelerate progress. Thanks for sharing this valuable information!