Rust Burn Library for Deep Learning
KDnuggets
OCTOBER 13, 2023
A new deep learning framework built entirely in Rust that aims to balance flexibility, performance, and ease of use for researchers, ML engineers, and developers.
This site uses cookies to improve your experience. By viewing our content, you are accepting the use of cookies. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country we will assume you are from the United States. View our privacy policy and terms of use.
KDnuggets
OCTOBER 13, 2023
A new deep learning framework built entirely in Rust that aims to balance flexibility, performance, and ease of use for researchers, ML engineers, and developers.
KDnuggets
DECEMBER 1, 2023
Dive into the complete overview of MIT's TinyML and Efficient Deep Learning Computing course. Curious about optimizing AI for everyday devices? Explore strategies to make AI smarter on small devices. Read the full article for an in-depth look!
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Launching LLM-Based Products: From Concept to Cash in 90 Days
How To Speak The Language Of Financial Success In Product Management
The AI Superhero Approach to Product Management
Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy
KDnuggets
JUNE 13, 2022
Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.
KDnuggets
MAY 30, 2023
In this tutorial, learn how to perform a deep learning task in R.
KDnuggets
APRIL 2, 2024
Dive into the 50 most popular deep-learning questions to get you ready for your interview.
KDnuggets
OCTOBER 12, 2022
Do you want to learn PyTorch for machine learning and deep learning? Check out this 24 hour long video course with accompanying notes and courseware for free. Did I mention it's free?
ArcGIS
NOVEMBER 15, 2023
Prepare your environment to run out-of-the-box deep learning geoprocessing tools in ArcGIS Pro. Machine learning is more accessible than ever with pre-trained models enabling you to extract data from your imagery.
KDnuggets
JULY 14, 2022
Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.
KDnuggets
MARCH 7, 2023
This brief guide illustrates how to use the Hydra library for ML experiments, especially in the case of deep learning-related tasks, and why you need this tool to make your workflow easier.
KDnuggets
JULY 25, 2022
Looking for a great course to go from machine learning zero to hero quickly? has released the latest version of Practical Deep Learning For Coders. And it won't cost you a thing.
ArcGIS
NOVEMBER 14, 2023
This blog details the new features and enhancements that were add for deep learning using the Image Analyst extension - for Pro 3.2.
KDnuggets
JULY 17, 2023
The second edition of the book Neural Networks and Deep Learning is now available. This book covers both classical and modern models in deep learning. The book is intended to be a textbook for universities, and it covers the theoretical and algorithmic aspects of deep learning.
KDnuggets
OCTOBER 31, 2022
Check out this list of 15 FREE ebooks for learning machine learning and deep learning.
KDnuggets
JANUARY 4, 2023
Check out this solid plan for learning Data Science, Machine Learning, and Deep Learning. The entire plan is currently available at no cost to KDnuggets readers.
KDnuggets
NOVEMBER 7, 2022
Check out this second list of 15 FREE ebooks for learning machine learning and deep learning.
KDnuggets
OCTOBER 31, 2022
How do we bridge this gap between deep learning and human cognitive ability?
KDnuggets
DECEMBER 10, 2021
Using deep learning techniques can help mathematicians develop intuitions about the toughest problems in the field.
KDnuggets
DECEMBER 5, 2019
Deep learning models are revolutionizing the business and technology world with jaw-dropping performances in one application area after another. Read this post on some of the numerous composite technologies which allow deep learning its complex nonlinearity.
KDnuggets
JANUARY 26, 2023
Learn how to easily build, iterate and deploy a state-of-the-art deep learning model to predict customer ratings with a declarative approach to machine learning.
Cloudera
NOVEMBER 17, 2020
The approach to machine learning using deep learning has brought marked improvements in the performance of many machine learning domains and it can apply just as well to fraud detection. The research team at Cloudera Fast Forward have written a report on using deep learning for anomaly detection.
KDnuggets
JULY 8, 2022
Bounding box deep learning has several benefits that make it well-suited for video annotation.
ArcGIS
JUNE 14, 2023
Re-train a deep learning model using transfer learning in ArcGIS. Start with an Esri pre-trained model, then create more training samples.
KDnuggets
SEPTEMBER 23, 2019
Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI.
KDnuggets
NOVEMBER 2, 2022
Data-centric learning resources are somewhat scattered today, and that’s why we developed a new Data Centric Deep Learning course on the co:rise education platform. It is an introduction to a set of approaches and best practices, for people who are trying to do deep learning in the wild.
KDnuggets
AUGUST 25, 2022
Sponsored Post Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow Read more »
KDnuggets
NOVEMBER 12, 2021
The PyTorch Deep Learning framework has a C++ API for use on mobile platforms. This article shows an end-to-end demo of how to write a simple C++ application with Deep Learning capabilities using the PyTorch C++ API such that the same code can be built for use on mobile platforms (both Android and iOS).
KDnuggets
JANUARY 10, 2020
Finding a deep learning model to perform well is an exciting feat. But, might there be other -- less complex -- models that perform just as well for your application?
KDnuggets
OCTOBER 4, 2019
Find out what was presented at the 6th annual Deep Learning Summit in London where industry leaders, academics, researchers, and innovative startups presenting the latest technological advancements and industry application methods in the field of deep learning.
Knowledge Hut
JULY 28, 2023
On that note, let's understand the difference between Machine Learning and Deep Learning. Below is a thorough article on Machine Learning vs Deep Learning. We will see how the two technologies differ or overlap and will answer the question - What is the difference between machine learning and deep learning?
KDnuggets
SEPTEMBER 24, 2019
Deep Learning is/has become the hottest skill in Data Science at the moment. There is a plethora of articles, courses, technologies, influencers and resources that we can leverage to gain the Deep Learning skills.
Knowledge Hut
JUNE 16, 2023
We all have witnessed how Deep learning has emerged as one of the most promising domains of artificial intelligence, enabling machines to process, analyze and draw insights from vast amounts of data. And hence, it has become significant to master some of the major deep learning tools to work with this concept better.
Knowledge Hut
DECEMBER 21, 2023
Deep learning is one of the major domains of pursuing a career in technology and development. With the growth in technology, the importance of machine learning and deep learning technology is also increasing. Learning effective deep learning skills is crucial to pursuing a career in this discipline.
KDnuggets
NOVEMBER 9, 2021
But this format is not optimized for deep learning work. In this article we are discussing that HDF5 is one of the most popular and reliable formats for non-tabular, numerical data. This article suggests what kind of ML native data format should be to truly serve the needs of modern data scientists.
KDnuggets
APRIL 27, 2022
Data-centric learning resources are somewhat scattered today, and that’s why we developed a new Data Centric Deep Learning course on the co:rise education platform. It is an introduction to a set of approaches and best practices, for people who are trying to do deep learning in the wild.
KDnuggets
AUGUST 29, 2019
With the pervasive important of NLP in so many of today's applications of deep learning, find out how advanced translation techniques can be further enhanced by transformers and attention mechanisms.
KDnuggets
FEBRUARY 28, 2024
Exploring the limitless possibilities of AI and making it context-aware.
KDnuggets
MAY 12, 2022
By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.
KDnuggets
AUGUST 7, 2019
Learn about Artificial Neural Networks, Deep Learning, Recurrent Neural Networks and LSTMs like never before and use NLP to build a Chatbot!
KDnuggets
DECEMBER 3, 2019
With deep learning and AI on the forefront of the latest applications and demands for new business directions, additional education is paramount for current machine learning engineers and data scientists. These courses are famous among peers, and will help you demonstrate tangible proof of your new skills.
Cloudera
APRIL 19, 2021
In the next sections, We’ll provide you with three easy ways data science teams can get started with GPUs for powering deep learning models in CML, and demonstrate one of the options to get you started. For more advanced problems and with more complex deep learning models, more GPUs maybe needed.
KDnuggets
NOVEMBER 22, 2021
PyTorch and TensorFlow are the two leading AI/ML Frameworks. In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms.
KDnuggets
SEPTEMBER 9, 2019
In this article, we’ll look at research and model architectures that have been written and developed to do just that using deep learning.
KDnuggets
DECEMBER 8, 2021
We saw some standout advancements in AI, Analytics, Machine Learning, Data Science, Deep Learning Research this past year, and the future, starting with 2022, looks bright. 2021 has almost come and gone. As per KDnuggets tradition, our collection of experts have contributed their insights on the matter.
KDnuggets
NOVEMBER 12, 2021
The PyTorch Deep Learning framework has a C++ API for use on mobile platforms. This article shows an end-to-end demo of how to write a simple C++ application with Deep Learning capabilities using the PyTorch C++ API such that the same code can be built for use on mobile platforms (both Android and iOS).
Expert insights. Personalized for you.
We have resent the email to
Are you sure you want to cancel your subscriptions?
Let's personalize your content