Analytics Vidhya

JANUARY 11, 2021

Introduction Convolutional Neural Networks come under the subdomain of Machine Learning. The post Image Classification Using Convolutional Neural Networks: A step by step guide appeared first on Analytics Vidhya. ArticleVideos This article was published as a part of the Data Science Blogathon.

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Convolutional Neural Networks Neural Network Machine Learning Data Science 358

Analytics Vidhya

OCTOBER 28, 2020

The post What is the Convolutional Neural Network Architecture? This article was published as a part of the Data Science Blogathon. Introduction Working on a Project on image recognition or Object Detection but. appeared first on Analytics Vidhya.

Convolutional Neural Networks 358

Convolutional Neural Networks Neural Network Data Science Computer Vision 358

Analytics Vidhya

JUNE 30, 2021

The post How to Detect COVID-19 Cough From Mel Spectrogram Using Convolutional Neural Network appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon COVID-19 COVID-19 (coronavirus disease 2019) is a disease that causes respiratory.

Convolutional Neural Networks 400

Convolutional Neural Networks Neural Network Data Science Computer Vision 400

Analytics Vidhya

SEPTEMBER 7, 2020

Introduction Overfitting or high variance in machine learning models occurs when the accuracy of your training dataset, the dataset used to “teach” the model, The post How to Treat Overfitting in Convolutional Neural Networks appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 8, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Deep learning is a booming field at the current time, The post Develop your First Image Processing Project with Convolutional Neural Network! appeared first on Analytics Vidhya.

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Analytics Vidhya

AUGUST 12, 2021

The post A Hands-on Guide to Build Your First Convolutional Neural Network Model appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This article will briefly discuss CNNs, a special variant.

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Convolutional Neural Networks Neural Network Data Science Computer Vision 353

Analytics Vidhya

SEPTEMBER 8, 2021

This article was published as a part of the Data Science Blogathon Introduction Image 1 Convolutional neural networks, also called ConvNets, were first introduced in the 1980s by Yann LeCun, a computer science researcher who worked in the […].

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Convolutional Neural Networks Neural Network Data Science Computer Vision 306

Analytics Vidhya

SEPTEMBER 30, 2019

Overview A hands-on tutorial to build your own convolutional neural network (CNN) in PyTorch We will be working on an image classification problem – The post Build an Image Classification Model using Convolutional Neural Networks in PyTorch appeared first on Analytics Vidhya.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 299

Analytics Vidhya

MAY 31, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon HISTORY & Background of Convolutional Neural Networks Convolutional Neural Networks are. The post Convolutional Neural Networks : Understand the Basics appeared first on Analytics Vidhya.

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Convolutional Neural Networks Neural Network Data Science Computer Vision 251

Analytics Vidhya

MAY 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Computer Vision is evolving rapidly day-by-day. The post 20 Questions to Test your Skills on CNN (Convolutional Neural Networks) appeared first on Analytics Vidhya. When we talk about.

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Convolutional Neural Networks Neural Network Computer Vision Data Science 274

Analytics Vidhya

MAY 5, 2019

Introduction “How did your neural network produce this result?” The post A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization appeared first on Analytics Vidhya. ” This question has sent many data scientists into a tizzy. It’s easy to explain how.

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Convolutional Neural Networks Neural Network Data Scientist Explainability 305

Analytics Vidhya

AUGUST 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon We have learned about the Artificial Neural network and its application. The post Beginners Guide to Convolutional Neural Network with Implementation in Python appeared first on Analytics Vidhya.

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Convolutional Neural Networks Neural Network Python Data Science 271

Analytics Vidhya

JUNE 14, 2021

The post Image Classification using Convolutional Neural Network with Python appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Hello guys! In this blog, I am going to discuss.

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Convolutional Neural Networks Neural Network Python Data Science 271

Analytics Vidhya

MAY 22, 2022

Introduction on 3D-CNN The MNIST dataset classification is considered the hello world program in the domain of computer vision. The MNIST dataset helps beginners to understand the concept and the implementation of Convolutional Neural Networks. Many think of images as just a normal […].

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Convolutional Neural Networks Neural Network Computer Vision Data Science 395

Analytics Vidhya

MARCH 30, 2022

Introduction AI and machine vision, which were formerly considered futuristic technology, has now become mainstream, with a wide range of applications ranging from automated robot assembly to automatic vehicle guiding, analysis of remotely sensed images, and automated visual inspection. Computer vision and deep learning […].

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Computer Vision Deep Learning Robotics Automation 270

Analytics Vidhya

NOVEMBER 22, 2023

Introduction LeNet-5, a pioneering convolutional neural network (CNN) developed by Yann LeCun and his team in the 1990s, was a game-changer in computer vision and deep learning.

Convolutional Neural Networks 306

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 306

Analytics Vidhya

JULY 22, 2020

Overview Get an overview of PyTorch and TensorFlow Learn to build a Convolutional Neural Network (CNN) model in PyTorch to solve an Image Classification. The post How to Train an Image Classification Model in PyTorch and TensorFlow appeared first on Analytics Vidhya.

Convolutional Neural Networks 400

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 400

Analytics Vidhya

FEBRUARY 22, 2023

Introduction From the 2000s onward, Many convolutional neural networks have been emerging, trying to push the limits of their antecedents by applying state-of-the-art techniques. The ultimate goal of these deep learning algorithms is to mimic the human eye’s capacity to perceive the surrounding environment.

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Convolutional Neural Networks Neural Network Deep Learning Algorithm 328

Analytics Vidhya

NOVEMBER 21, 2020

Introduction Let’s put on the eyes of Neural Networks and see what the Convolution Neural Networks see. Photo by David Travis on Unsplash Pre-requisites:-. The post Tutorial — How to visualize Feature Maps directly from CNN layers appeared first on Analytics Vidhya.

Convolutional Neural Networks 400

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 400

Analytics Vidhya

NOVEMBER 6, 2019

Overview Deep learning is a vast field but there are a few common challenges most of us face when building models Here, we talk. The post 4 Proven Tricks to Improve your Deep Learning Model’s Performance appeared first on Analytics Vidhya.

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Deep Learning Convolutional Neural Networks Neural Network Computer Vision 287

Unite.AI

JULY 31, 2023

The SEER model by Facebook AI aims at maximizing the capabilities of self-supervised learning in the field of computer vision. The Need for Self-Supervised Learning in Computer Vision Data annotation or data labeling is a pre-processing stage in the development of machine learning & artificial intelligence models.

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Computer Vision Metadata Natural Language Processing ML 246

Marktechpost

NOVEMBER 16, 2024

Computer vision is rapidly transforming industries by enabling machines to interpret and make decisions based on visual data. Learning computer vision is essential as it equips you with the skills to develop innovative solutions in areas like automation, robotics, and AI-driven analytics, driving the future of technology.

Computer Vision 104

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 104

Analytics Vidhya

FEBRUARY 16, 2022

Introduction Computer vision is a field of A.I. 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. This article was published as a part of the Data Science Blogathon.

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Convolutional Neural Networks Neural Network Computer Vision Data Science 271

Analytics Vidhya

SEPTEMBER 27, 2022

Introduction My last blog discussed the “Training of a convolutional neural network from scratch using the custom dataset.” This article was published as a part of the Data Science Blogathon. This blog is […].

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Convolutional Neural Networks Neural Network Explainability Data Science 364

Marktechpost

JUNE 30, 2024

Deep learning models like Convolutional Neural Networks (CNNs) and Vision Transformers achieved great success in many visual tasks, such as image classification, object detection, and semantic segmentation. On the other hand, SSMs are a promising approach for modeling sequential data in deep learning.

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Convolutional Neural Networks Neural Network Deep Learning ML 138

Marktechpost

FEBRUARY 12, 2024

Deep convolutional neural networks (DCNNs) have been a game-changer for several computer vision tasks. Network depth and convolution are the two primary components of a DCNN that determine its expressive power.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 133

Marktechpost

JANUARY 13, 2024

There has been a dramatic increase in the complexity of the computer vision model landscape. Many models are now at your fingertips, from the first ConvNets to the latest Vision Transformers. Our work comprehensively compares common vision models on "non-standard" metrics. (1/n)

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Convolutional Neural Networks Neural Network Computer Vision AI Researcher 131

Marktechpost

AUGUST 5, 2024

Advances in deep learning have improved the accuracy and efficiency of medical image segmentation, making it an indispensable tool in clinical practice. Deep learning models have replaced traditional thresholding, clustering, and active contour models. Dice Score and 27.10

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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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Convolutional Neural Networks Neural Network Machine Learning Data Science 271

Marktechpost

JULY 15, 2024

Robustness is crucial for deploying deep learning models in real-world applications. Vision Transformers (ViTs) have shown strong robustness and state-of-the-art performance in various vision tasks since their introduction in the 2020s, outperforming traditional CNNs. If you like our work, you will love our newsletter.

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Convolutional Neural Networks Neural Network Deep Learning ML 103

Marktechpost

APRIL 12, 2024

Deep learning architectures have revolutionized the field of artificial intelligence, offering innovative solutions for complex problems across various domains, including computer vision, natural language processing, speech recognition, and generative models.

Deep Learning 137

Deep Learning Convolutional Neural Networks Neural Network Natural Language Processing 137

Analytics Vidhya

DECEMBER 14, 2020

Introduction: Hi everyone, recently while participating in a Deep Learning competition, I. The post An Approach towards Neural Network based Image Clustering appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Neural Network Deep Learning Data Science Convolutional Neural Networks 392

Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction VGG- Network is a convolutional neural network model proposed by. The post Build VGG -Net from Scratch with Python! appeared first on Analytics Vidhya.

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Convolutional Neural Networks Python Neural Network Data Science 235

Marktechpost

JANUARY 14, 2024

Computer vision tasks like autonomous driving, object segmentation, and scene analysis can negatively impact this effect, which blurs or stretches the image’s object contours, diminishing their clarity and detail. There has been a meteoric rise in the use of deep learning in image processing in the past several years.

Deep Learning 115

Deep Learning Convolutional Neural Networks Neural Network Computer Vision 115

Analytics Vidhya

DECEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Let’s learn about the pre-trained stacked model and detect if the person has Pneumonia or not. Introduction Computer Vision is taking over the world, tasks that were previously handled by humans themselves are now being done via computer in many fields.

Computer Vision 361

Computer Vision Data Science Convolutional Neural Networks Neural Network 361

Viso.ai

FEBRUARY 25, 2024

Image reconstruction is an AI-powered process central to computer vision. In this article, we’ll provide a deep dive into using computer vision for image reconstruction. About Us: Viso Suite is the end-to-end computer vision platform helping enterprises solve challenges across industry lines.

Computer Vision 98

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 98

Unite.AI

OCTOBER 17, 2024

Some of the earliest and most extensive work has occurred in the use of deep learning and computer vision models. As the data in a training set is processed, the neural network learns how to predict the outcome. Several types of networks exist. First, some terminology.

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Neural Network Convolutional Neural Networks Large Language Models Computer Vision 263