Deep Learning Key Terms, Explained
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.
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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
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
SEPTEMBER 18, 2024
Medical imaging has been revolutionized by the adoption of deep learning techniques. The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning.
KDnuggets
OCTOBER 31, 2022
Check out this list of 15 FREE ebooks for learning machine learning and deep learning.
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
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?
KDnuggets
APRIL 2, 2024
Dive into the 50 most popular deep-learning questions to get you ready for your interview.
KDnuggets
DECEMBER 10, 2021
Using deep learning techniques can help mathematicians develop intuitions about the toughest problems in the field.
KDnuggets
OCTOBER 31, 2022
How do we bridge this gap between deep learning and human cognitive ability?
KDnuggets
SEPTEMBER 19, 2024
1 [dev] and edited with Canva Pro The 10 GitHub Repository Education Series has been a hit among readers, so here is another list to help you master the basics of deep learning. This collection will guide you through understanding popular deep learning frameworks and various model architectures. Image generated with FLUX.1
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!
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.
KDnuggets
JULY 8, 2022
Bounding box deep learning has several benefits that make it well-suited for video annotation.
KDnuggets
NOVEMBER 7, 2022
Check out this second 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.
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
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
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.
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
JUNE 3, 2022
Check out a this article for a better understanding of activation functions.
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
MARCH 19, 2020
Many cloud providers, and other third-party services, see the value of a Jupyter notebook environment which is why many companies now offer cloud hosted notebooks that are hosted on the cloud. Let's have a look at 3 such environments.
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
FEBRUARY 28, 2024
Exploring the limitless possibilities of AI and making it context-aware.
KDnuggets
NOVEMBER 29, 2019
Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use.
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.
Knowledge Hut
DECEMBER 26, 2023
As technology is evolving rapidly today, both Predictive Analytics and Machine Learning are imbibed in most business operations and have proved to be quite integral. Deep learning is a machine learning type based on artificial neural networks (ANN). TensorFlow is by far one of the most popular deep learning frameworks.
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.
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
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
JANUARY 25, 2022
Now in print! New edition of the bestselling original by François Chollet.
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
JANUARY 4, 2022
Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio.
KDnuggets
DECEMBER 7, 2021
A lot of missing values in the dataset can affect the quality of prediction in the long run. Several methods can be used to fill the missing values and Datawig is one of the most efficient ones.
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
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
SEPTEMBER 23, 2023
Simple explanation of PyTorch and Lightning AI.
KDnuggets
DECEMBER 24, 2021
Check out these key development issues and tips learned from personal experience when deploying a TensorFlow-based image classifier Streamlit app on a Heroku server.
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
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
FEBRUARY 14, 2022
Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.
ArcGIS
FEBRUARY 10, 2023
We will discusses what’s new for deep learning in the Image Analyst extension of ArcGIS Pro 3.1 release.
DoorDash Engineering
MARCH 12, 2024
This harnesses state-of-the-art deep learning (DL) algorithms through a novel two-layer ML architecture that provides precise ETA predictions from vast, real-world data sets for optimal robustness and generalizability. This is an evolution from our previous ETA modeling method [ 1 , 2 ] which focus more on long-tail minimization.
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