Analytics Vidhya

MARCH 10, 2020

Starting your Deep Learning Career? Deep learning can be a complex and daunting field for newcomers. Concepts like hidden layers, convolutional neural networks, backpropagation. The post Getting into Deep Learning? Here are 5 Things you Should Absolutely Know appeared first on Analytics Vidhya.

Deep Learning 400

Deep Learning Convolutional Neural Networks Neural Network Python 400

Analytics Vidhya

MAY 27, 2023

Introduction The UNet is the first model that comes to mind these days whenever we want to use image segmentation in machine learning. Extensive medical imaging, autonomous driving, and satellite imaging applications are all supported by the encoder-decoder convolutional neural network UNet.

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Flipboard

FEBRUARY 2, 2023

Learn the basics of machine learning, including classification, SVM, decision tree learning, neural networks, convolutional, neural networks, boosting, and K nearest neighbors.

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Marktechpost

NOVEMBER 16, 2024

Over two weeks, you’ll learn to extract features from images, apply deep learning techniques for tasks like classification, and work on a real-world project to detect facial key points using a convolutional neural network (CNN).

Computer Vision 103

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 103

Analytics Vidhya

OCTOBER 9, 2022

Introduction In recent times, whenever we wish to perform image segmentation in machine learning, the first model we think of is the U-Net. U-Net is an encoder-decoder convolutional neural network with […]. It has been revolutionary in performance improvement compared to previous state-of-the-art methods.

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Marktechpost

MAY 13, 2024

Vision Transformers (ViT) and Convolutional Neural Networks (CNN) have emerged as key players in image processing in the competitive landscape of machine learning technologies. Convolutional Neural Networks (CNNs) CNNs have been the cornerstone of image-processing tasks for years.

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Analytics Vidhya

APRIL 15, 2024

Introduction Welcome to an in-depth exploration of ship classification using Convolutional Neural Networks (CNNs) with the Analytics Vidhya hackathon dataset. CNNs are a cornerstone of image-related tasks, known for their ability to learn hierarchical representations of images.

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Convolutional Neural Networks Neural Network Data Analysis Data Science 301

Unite.AI

NOVEMBER 6, 2023

With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? In this article, we’ll look at the state of the traditional machine learning landscape concerning modern generative AI innovations. What is Traditional Machine Learning? What are its Limitations?

Machine Learning 203

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 203

Analytics Vidhya

DECEMBER 31, 2023

A lightweight convolutional neural network (CNN) architecture, MobileNetV2, is specifically […] The post What is MobileNetV2? This article explores MobileNetV2’s architecture, training methodology, performance assessment, and practical implementation. What is MobileNetV2?

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Marktechpost

MAY 10, 2024

Redundant execution introduces the concept of a hybrid (convolutional) neural network designed to facilitate reliable neural network execution for safe and dependable AI. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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Convolutional Neural Networks Neural Network AI AI 123

Marktechpost

JUNE 9, 2024

Researchers at the Institute of Biomedical Engineering, TU Dresden, developed a deep learning architecture, xECGArch, for interpretable ECG analysis. xECGArch uniquely separates short-term (morphological) and long-term (rhythmic) ECG features using two independent Convolutional Neural Networks CNNs.

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Analytics Vidhya

FEBRUARY 16, 2022

Since 2012 after convolutional neural networks(CNN) were introduced, we moved away from handcrafted features to an end-to-end approach using deep neural networks. The post Classification without Training Data: Zero-shot Learning Approach appeared first on Analytics Vidhya.

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Convolutional Neural Networks Neural Network Computer Vision Data Science 271

Unite.AI

DECEMBER 26, 2024

These deep learning algorithms get data from the gyroscope and accelerometer inside a wearable device ideally worn around the neck or at the hip to monitor speed and angular changes across three dimensions. Where does this data come from? One stream of data can be collected through a system of discreet cameras, radars, and sensors.

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AI News

JULY 27, 2023

The collaboration combines the strengths of three industry leaders: Graphcore, renowned for its Intelligence Processing Units (IPUs) hardware; UbiOps, a powerful machine learning operations (MLOps) platform; and Gcore Cloud, known for its robust cloud infrastructure.

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Marktechpost

JANUARY 9, 2024

It mentions the under-utilization of the Siamese neural network technique in recent studies on multimodal medical image classification, which motivates this study. TwinCNN combines a twin convolutional neural network framework with a hybrid binary optimizer for multimodal breast cancer digital image classification.

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Convolutional Neural Networks Neural Network Deep Learning Algorithm 115

SAS Software

APRIL 27, 2023

In her first blog post, SAS' Mu He shows you how to train a convolutional neural network that can accurately detect patients with COVID-19 using the transfer learning technique. The post Using SAS Viya Machine Learning to classify COVID from non-COVID appeared first on SAS Blogs.

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Flipboard

NOVEMBER 16, 2024

Raw images are processed and utilized as input data for a 2-D convolutional neural network (CNN) deep learning classifier, demonstrating an impressive 95% overall accuracy against new images. The glucose predictions done by CNN are compared with ISO 15197:2013/2015 gold standard norms.

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Marktechpost

SEPTEMBER 18, 2024

Traditional machine learning methods, such as convolutional neural networks (CNNs), have been employed for this task, but they come with limitations. Manual classification is slow and prone to inconsistencies due to the subjective nature of human judgment.

Convolutional Neural Networks 102

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Marktechpost

MAY 5, 2024

In recent years, the demand for AI and Machine Learning has surged, making ML expertise increasingly vital for job seekers. Machine Learning with Python This course covers the fundamentals of machine learning algorithms and when to use each of them. and evaluating the same.

Machine Learning 119

Machine Learning Python Neural Network Convolutional Neural Networks 119

Marktechpost

JANUARY 13, 2024

1/n) pic.twitter.com/LSXmEQiD2K — Zhuang Liu (@liuzhuang1234) January 8, 2024 The post How to Choose the Right Vision Model for Your Specific Needs: Beyond ImageNet Accuracy – A Comparative Analysis of Convolutional Neural Networks and Vision Transformer Architectures appeared first on MarkTechPost.

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Flipboard

JANUARY 9, 2025

This finding highlights a simple mechanism for feature learning that can take place in overparametrized shallow convolutional neural networks, but not in shallow fully-connected architectures or in locally connected neural networks without weight sharing.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 82

ODSC - Open Data Science

FEBRUARY 10, 2025

A/V analysis and detection are some of machine learnings most practical applications. Many tools apply these capabilities to text-based data or network traffic, but audio and video use cases are also worthnoting. Choose an Appropriate Algorithm As with all machine learning processes, algorithm selection is also crucial.

Machine Learning 52

Machine Learning Convolutional Neural Networks Neural Network Natural Language Processing 52

Flipboard

JANUARY 31, 2025

A new neural network process has designed wireless chips that can outperform existing ones. This convolutional neural network analyzes the desired chip properties then designs backward. That might be a problem. Much of AI news is hype, but this is open access, peer reviewed research in a reputable

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Flipboard

MARCH 24, 2025

This paper investigates the role of multidimensional Convolutional Neural Network (CNN) architectures: 1D-CNN, 2D-CNN and 3D-CNN, using the DWT subbands of sMRI data. 1D-CNN involves energy features extracted from the CD subband of sMRI data.

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Convolutional Neural Networks Neural Network Machine Learning 73

Flipboard

APRIL 5, 2025

The proposed model integrates Adaptive Instance Normalization (AdaIN) and Gram matrix-based style representation within a convolutional neural network (CNN) architecture. Specifically, the research explores techniques to improve the visual coherence of style transfer, ensuring consistency and accessibility for practical use.

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Unite.AI

SEPTEMBER 3, 2024

Computational power has become a critical factor in pushing the boundaries of what's possible in machine learning. As models grow more complex and datasets expand exponentially, traditional CPU-based computing often falls short of meeting the demands of modern machine learning tasks.

Machine Learning 130

Machine Learning Convolutional Neural Networks Neural Network Algorithm 130

Marktechpost

SEPTEMBER 10, 2023

The post Unlocking the Secrets of Catalytic Performance with Deep Learning: A Deep Dive into the ‘Global + Local’ Convolutional Neural Network for High-Precision Screening of Heterogeneous Catalysts appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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Convolutional Neural Networks Neural Network Deep Learning ML 118

AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics. voxeurop.eu

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Flipboard

FEBRUARY 3, 2025

Although several computer-aided cholelithiasis diagnosis approaches have been introduced in the literature, their use is limited because Convolutional Neural Network (CNN) models are black box in nature. Accurate and precise identification of cholelithiasis is essential for saving the lives of millions of people worldwide.

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Unite.AI

MAY 31, 2023

A neural network (NN) is a machine learning algorithm that imitates the human brain's structure and operational capabilities to recognize patterns from training data. Lack of Literature Liquid Neural Networks have limited literature on implementation, application, and benefits.

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Neural Network Convolutional Neural Networks Artificial Intelligence Artificial Intelligence 354

Marktechpost

APRIL 11, 2024

MIT researchers have proposed a method that combines first-principles calculations and machine learning to address the challenge of computationally expensive and intractable calculations required to understand the thermal conductivity of semiconductors, specifically focusing on diamonds.

Machine Learning 108

Machine Learning Convolutional Neural Networks Neural Network AI 108

Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. After you create a free account, you’ll have access to the best machine learning datasets. Importance and Role of Datasets in Machine Learning Data is king.

Machine Learning 123

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Marktechpost

AUGUST 2, 2024

Deep learning techniques such as 1D convolutional neural networks (1D-CNNs) offer significant advantages by automatically learning relevant features from raw audio data, capturing complex patterns and nuances indicative of specific pathological conditions. The training process was conducted without noise data.

Machine Learning 108

Machine Learning Convolutional Neural Networks Deep Learning Neural Network 108

Marktechpost

OCTOBER 8, 2024

They were recognized for their groundbreaking work in developing foundational machine learning technologies using artificial neural networks—work that has had a transformative impact on both the fields of physics and artificial intelligence. Hopfield of Princeton University and Geoffrey E.

Machine Learning 108

Machine Learning Neural Network Convolutional Neural Networks Artificial Intelligence 108

AI Weekly

JULY 27, 2023

bmj.com How AI can use classroom conversations to predict academic success By analyzing the classroom dialogs of these children, scientists at Tsinghua University developed neural network models to predict what behaviors may lead to a more successful student. Our Oppenheimer Moment: The Creation of A.I.

Neural Network 246

Neural Network Convolutional Neural Networks Robotics Natural Language Processing 246

Marktechpost

DECEMBER 24, 2023

In this critical realm, the transformative power of machine learning is reshaping the landscape. As the demand for sustainable agriculture grows, machine learning emerges as a vital force, reshaping the future of food security and cultivation.

Machine Learning 118

Machine Learning Convolutional Neural Networks Neural Network Deep Learning 118

Towards AI

APRIL 7, 2024

With the emergence of ARCGISpro which will replace ArcMap by 2026 mainly focusing on data science and machine learning, all the signs that machine learning is the future of GIS and you might have to learn some principles of data science, but where do you start, let us have a look.

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