AI Weekly

NOVEMBER 23, 2023

ndtv.com Research Faster R-CNNs Fast R-CNN Faster R-CNN The Base Network Anchors Region Proposal Network (RPN) Training the RPN Region of Interest (ROI) Pooling Region-Based Convolutional Neural Network The Complete Training Pipeline Summary Citation Information Faster R-CNNs Deep learning has impacted almost every facet of.

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Marktechpost

SEPTEMBER 4, 2023

Recent advancements in deep neural networks have enabled new approaches to address anatomical segmentation. For instance, state-of-the-art performance in the anatomical segmentation of biomedical images has been attained by deep convolutional neural networks (CNNs). Check out the Paper and Github.

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Towards AI

MARCH 17, 2023

link] Welcome everyone back to my other tutorial. Last time I showed you how to train a simple PyTorch model, this was an introduction to PyTorch where I showed you how to train an MNIST classifier with Convolutional Neural Networks. Comes with Thousands of Free Learning Resources and ChatGPT Integration!

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Neural Network Convolutional Neural Networks Data Science ChatGPT 95

Marktechpost

AUGUST 25, 2023

The researcher’s approach features the images onto a voxel grid and directly predicts the scene’s truncated signed distance function (TSDF) using a 3D convolution neural network. Check out the Paper and Github link. All Credit For This Research Goes To the Researchers on This Project.

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AI Weekly

MARCH 21, 2024

It introduces Temporal Convolutional Networks (TCN) for short texts, investigates the effectiveness of combining Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN), and explores the use of an Autoencoder combined with Adaboost classifier. You can also subscribe via email.

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Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 193

Marktechpost

MARCH 19, 2024

Traditional methods like 3D convolutional neural networks (CNNs) and video transformers have made significant strides but often struggle to effectively address both local redundancy and global dependencies. link] But how does it work?

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Marktechpost

JANUARY 12, 2024

Models tailored for 2D images, such as those based on convolutional neural networks, need to be revised for interpreting complex 3D environments. link] ODIN performs state-of-the-art 3D instance segmentation on ScanNet200, Matterport3D, and AI2THOR benchmarks.

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Convolutional Neural Networks Computer Vision AI Modeling Neural Network 121

Towards AI

MARCH 1, 2023

In this blog, we try to use CNN (Convolution Neural Network), a deep learning model for detecting casting defects by analyzing images of casting products. The network connectivity in CNN resembles that of the human brain. You can refer to this [link] You can install anaconda and use jupyter from there.

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Marktechpost

JULY 14, 2023

This image representation comes under a broad category of Computer Vision and Convolutional Neural Networks. Research scientists find it very similar to Convolutional Neural Networks. Check out the Paper , GitHub link , and Blog.

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Convolutional Neural Networks AI Researcher AI Research Neural Network 89

Marktechpost

MAY 28, 2024

This parallel processing capability allows Transformers to handle long-range dependencies more effectively than recurrent neural networks (RNNs) or convolutional neural networks (CNNs). Scaling Laws One of the key insights driving the development of the GPT series is understanding scaling laws in neural networks.

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Marktechpost

SEPTEMBER 12, 2023

It leverages the capabilities of deep learning models, such as Generative Adversarial Networks (GANs) and Convolutional Neural Networks (CNNs). Source: [link] To overcome the challenges of long I2I translation, Revive-2I uses text prompts that describe the desired changes in the image. Skull2Image task.

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Marktechpost

MAY 5, 2024

Introduction to Machine Learning “Introduction to Machine Learning” covers concepts like logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc., and demonstrates their application in various real-world applications.

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AI Weekly

AUGUST 17, 2023

Liu Yang from the University of Chinese Academy of Sciences (UCAS), in collaboration with her colleagues from Renmin University of China and Massachusetts Institute of Technology, has proposed a novel network, namely, the physics-encoded recurrent convolutional neural network (PeRCNN). You can also subscribe via email.

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Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 180

Heartbeat

FEBRUARY 6, 2023

In the second step, these potential fields are classified and corrected by the neural network model. R-CNN (Regions with Convolutional Neural Networks) and similar two-stage object detection algorithms are the most widely used in this regard. It then detects which objects are in these regions. are extracted.

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Algorithm Convolutional Neural Networks Neural Network Computer Vision 90

AI Weekly

DECEMBER 7, 2023

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship This RSS feed is published on [link]. Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies. You can also subscribe via email.

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Convolutional Neural Networks AI Modeling Robotics ChatGPT 202

PyImageSearch

NOVEMBER 13, 2023

You’ll typically find IoU and mAP used to evaluate the performance of HOG + Linear SVM detectors ( Dalal and Triggs, 2005 ), Convolutional Neural Network methods, such as Faster R-CNN ( Girshick et al., Today, we would typically swap in a deeper, more accurate base network, such as ResNet ( He et al., 2015 ; He et al.,

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 120

Heartbeat

JUNE 27, 2023

Neural networks leverage the structure and properties of graph and work in a similar fashion. Graph Neural Networks are a class of artificial neural networks that can be represented as graphs. Edge-level tasks , on the other hand, entail edge classification and link prediction.

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Neural Network Convolutional Neural Networks Auto-classification Deep Learning 59

AI Weekly

OCTOBER 26, 2023

listverse.com Research A new method for safety helmet detection based on convolutional neural network Using the designed channel attention module and location attention module, adjacent shallow feature maps and upsampled feature maps are adaptively fused to generate new feature maps with strong semantics and precise location information.

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Neural Network Convolutional Neural Networks Robotics Deep Learning 197

Marktechpost

MAY 31, 2024

SleepFM employs three 1D convolutional neural networks (CNNs) to generate embeddings from each modality (BAS, ECG, and respiratory signals). link] In sleep stage classification, SleepFM achieved a macro AUROC of 0.88 The architecture of these models is based on a 1D CNN developed for classifying ECG measurements.

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Convolutional Neural Networks Neural Network Automation Categorization 75

Unite.AI

AUGUST 1, 2023

Prompt 1 : “Tell me about Convolutional Neural Networks.” ” Response 1 : “Convolutional Neural Networks (CNNs) are multi-layer perceptron networks that consist of fully connected layers and pooling layers. They are commonly used in image recognition tasks. .”

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Marktechpost

JUNE 15, 2023

Convolutional neural networks can use Images with translational symmetry, and permutation symmetry in graphs can be used by graph neural networks. Theoretical research and practical methods for constructing general group equivariant neural networks have seen a recent uptick in interest.

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Convolutional Neural Networks Neural Network Deep Learning AI Tools 98

AI Weekly

JULY 27, 2023

yahoo.com A Novel Type of Neural Network Comes to the Aid of Big Physics With a machine learning tool known as a sparse convolutional neural network (SCNN), researchers can focus on the relevant parts of their data and screen out the rest. zdnet.com Sponsor Microsoft Office for $39.99!

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Neural Network Robotics Natural Language Processing Convolutional Neural Networks 204

Mlearning.ai

JUNE 1, 2023

Strategy After researching various approaches, this research article, ‘ Animal Sound Classification Using A Convolutional Neural Network’ intrigued me and I began to study various approaches. This allows me to capture features of cat and dog sounds for the neural network. It measures amplitude and decibels.

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Convolutional Neural Networks Neural Network Deep Learning Machine Learning 52

Marktechpost

JULY 18, 2023

Source: [link] FastSAM decouples the segment anything task into two sequential stages: all-instance segmentation and prompt-guided selection. The first stage employs a Convolutional Neural Network (CNN)-based detector to produce segmentation masks for all instances in the image. FastSAM speeds up SAM quite a lot.

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Convolutional Neural Networks Computer Vision Neural Network Algorithm 87

AI Weekly

JUNE 29, 2023

Discover what the most trusted industry experts are reading to expand your knowledge by choosing from 10 AI topics : AI General News | AI Ethics | AI Applied Use Cases | AI Robotics | AI Research | AI Marketing | AI Healthcare | AI Cybersecurity | AI For Good | Business of AI | This RSS feed is published on [link].

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Algorithm ChatGPT Convolutional Neural Networks Robotics 177

Flipboard

MARCH 27, 2023

Project Structure Accelerating Convolutional Neural Networks Parsing Command Line Arguments and Running a Model Evaluating Convolutional Neural Networks Accelerating Vision Transformers Evaluating Vision Transformers Accelerating BERT Evaluating BERT Miscellaneous Summary Citation Information What’s New in PyTorch 2.0?

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Neural Network Convolutional Neural Networks BERT Computer Vision 117

Becoming Human

MARCH 16, 2023

This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications. Through the next series of this post here , I will try to make an implementation of Graph Convolutional Neural Network. So, let’s get started! What are Graphs?

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Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87

AssemblyAI

MARCH 15, 2023

The easiest way to try Conformer-1 is through our Playground , where you can upload a file or enter a YouTube link to see a transcription in just a few clicks. "Contextnet: Improving convolutional neural networks for automatic speech recognition with global context." You can also try out our API directly for free.

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Viso.ai

DECEMBER 10, 2023

link] What is Image Recognition? Training of Neural Networks for Image Recognition The images from the created dataset are fed into a neural network algorithm. The training of an image recognition algorithm makes it possible for convolutional neural network image recognition to identify specific classes.

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Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Mlearning.ai

MAY 10, 2023

For more detailed information, there is an article about this in the National Center for Biotechnology Information website : [link] First reported by the University of York’s Professor Peter Thompson in 1980, this study helped demonstrate that people recognize faces by their individual parts, such as eyes, mouth, and nose. link] What’s next

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TensorFlow

JANUARY 19, 2023

Specifically in this tutorial, we use it to help with resizing the size of the data as it goes through the (2+1)D convolutional neural network we create. On tensorflow.org, we have published a series of tutorials on how to load, preprocess, and classify video data.

Deep Learning 52

Deep Learning Convolutional Neural Networks Neural Network Python 52

Marktechpost

APRIL 20, 2024

Deep neural networks like convolutional neural networks (CNNs) have revolutionized various computer vision tasks, from image classification to object detection and segmentation. Reference: [link] The researchers evaluated ReffAKD on three benchmark datasets: CIFAR-100, Tiny Imagenet, and Fashion MNIST.

Machine Learning 86

Machine Learning Neural Network Convolutional Neural Networks Computer Vision 86

Unite.AI

AUGUST 8, 2023

Instead of complex and sequential architectures like Recurrent Neural Networks (RNNs) or Convolutional Neural Networks (CNNs), the Transformer model introduced the concept of attention, which essentially meant focusing on different parts of the input text depending on the context.

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Marktechpost

JUNE 27, 2023

The language model might produce a story or narrative without illogical gaps or ambiguous links. They rely on massive visual training data in convolutional neural networks. Hallucinations will occur if the visual data patterns utilized for training change. What Goes Wrong with AI Chatbots?

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Artificial Intelligence Artificial Intelligence AI Chatbots Chatbots 97

Marktechpost

JULY 24, 2023

Because of their capacity to learn hierarchical representations of picture input, Convolutional Neural Networks (CNNs) have become the go-to option for these problems. Source: [link] This was the summary of CutLER, a novel AI tool for accurate and consistent object detection and image segmentation.

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Convolutional Neural Networks Computer Vision Neural Network Algorithm 52

Viso.ai

FEBRUARY 21, 2024

These representations can then be used for various tasks such as node classification (determining the label of a node), link prediction (predicting the existence of an edge between two nodes), and graph classification (classifying entire graphs). For example, GNN is extensively used in social network apps (Facebook).

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Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

Heartbeat

AUGUST 9, 2023

Step 1: Getting Dataset and Heading to Notebook To download the dataset used in this project, visit this link to Kaggle, register (if you are not a member), and download: NB: The dataset is originally found in the Tensorflow Utils datasets. To learn more about the numpy library, visit this link. Now let us load our training data.

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