Analytics Vidhya

OCTOBER 4, 2021

This article was published as a part of the Data Science Blogathon What is CNN? Convolutional Neural Network is a type of deep learning neural network that is artificial. The post Applications of Convolutional Neural Networks(CNN) appeared first on Analytics Vidhya.

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IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. Machine learning is a subset of AI. What is a neural network?

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Analytics Vidhya

MAY 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In the past few decades, Deep Learning has. The post Convolutional Neural Networks (CNN) appeared first on Analytics Vidhya.

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Marktechpost

MAY 14, 2024

Deep learning is crucial in today’s age as it powers advancements in artificial intelligence, enabling applications like image and speech recognition, language translation, and autonomous vehicles. Additionally, it offers insights into the diverse range of deep learning techniques applied across various industrial sectors.

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Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon Overview Deep learning is a subset of Machine Learning dealing with different neural networks with three or more layers. The post A Comprehensive Guide on Neural Networks Performance Optimization appeared first on Analytics Vidhya.

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AssemblyAI

MARCH 21, 2023

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. What are the actual advantages of Graph Machine Learning? And why do Graph Neural Networks matter in 2023?

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Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction: Artificial Neural Networks (ANN) are algorithms based on brain function and are used to model complicated patterns and forecast issues. The post Introduction to Artificial Neural Networks appeared first on Analytics Vidhya.

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Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. To understand Convolutional Neural networks, we first need to know What is Deep Learning? The post CONVOLUTIONAL NEURAL NETWORK(CNN) appeared first on Analytics Vidhya.

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Analytics Vidhya

NOVEMBER 18, 2022

This article was published as a part of the Data Science Blogathon. Deep Learning Overview Deep Learning is a subset of Machine Learning. Deep Learning is established on Artificial Neural Networks to mimic the human brain.

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Deep Learning Neural Network Machine Learning Data Science 375

Analytics Vidhya

AUGUST 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We all want to dive deep into deep learning and. The post Build your first artificial neural networks using Pytorch appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: In the world of Deep Learning (DL), there are many. The post Convolution Neural Network – Better Understanding! appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction A deep learning task typically entails analyzing an image, text, or table of data (cross-sectional and time-series) to produce a number, label, additional text, additional images, or a mix of these.

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Analytics Vidhya

MARCH 2, 2022

This article was published as a part of the Data Science Blogathon. What is Convolutional Neural Network? Convolutional Neural Networks also known as CNNs or ConvNets, are a type of feed-forward artificial neural network whose connectivity structure is inspired by the organization of the animal visual cortex.

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Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon ANN – General Introduction: Artificial Neural Networks (ANN)are the basic algorithms. The post Artificial Neural Networks – Better Understanding ! appeared first on Analytics Vidhya.

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Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Artificial Neural Network Artificial neural network(ANN) or Neural Network(NN) are powerful Machine Learning techniques that are very good at information processing, detecting new patterns, and approximating complex processes.

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Analytics Vidhya

APRIL 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Photo by Andrew Neel on Unsplash As the craze for deep learning. The post THE HISTORY OF NEURAL NETWORKS! appeared first on Analytics Vidhya.

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Analytics Vidhya

DECEMBER 14, 2020

This article was published as a part of the Data Science Blogathon. 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.

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Analytics Vidhya

OCTOBER 21, 2021

This article was published as a part of the Data Science Blogathon If you are a machine learning and AI enthusiast, you must have come across the word perceptron. Perceptron is taught in the first chapter of many deep learning courses. So what exactly it is? What is the inspiration behind it? How exactly it […].

Neural Network 341

Neural Network Deep Learning Machine Learning Data Science 341

Analytics Vidhya

SEPTEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Introduction We all heard the term graph, but what is it? Can we develop a neural network out of it, or is it just for representation? The post Graph Neural Network: An Introduction appeared first on Analytics Vidhya. We can do all of these.

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Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon + Image 1 Overview This article will support data scientists in furthering their studies on artificial neural networks so that they can develop applications for professional use.

Neural Network 382

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Analytics Vidhya

MARCH 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction Neural Networks have acquired enormous popularity in recent years due to their usefulness and ease of use in the fields of Pattern Recognition and Data Mining. The post What are Graph Neural Networks, and how do they work?

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Analytics Vidhya

AUGUST 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In neural networks we have lots of hyperparameters, it is. The post Hyperparameter Tuning Of Neural Networks using Keras Tuner appeared first on Analytics Vidhya.

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Analytics Vidhya

AUGUST 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon In the last blog, we discussed what an Artificial Neural network. The post Implementing Artificial Neural Network on Unstructured Data appeared first on Analytics Vidhya.

Neural Network 367

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Towards AI

NOVEMBER 13, 2024

A side-by-side comparison of PyTorch and TensorFlow for training and inference of neural networks This member-only story is on us. Image by Lanju Fotografie on Unsplash It is widely known that PyTorch and TensorFlow are the two most popular and established frameworks in the deep learning community.

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Analytics Vidhya

APRIL 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the former article, we looked at how RNNs are different from standard NN and what was the reason behind using this algorithm. In this article we will dig a bit deeper into RNN, we will see the mathematical details and try to […].

Neural Network 354

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Analytics Vidhya

DECEMBER 28, 2021

This article was published as a part of the Data Science Blogathon Source: Vision Image Overview Deep learning is the most powerful method used to work on vision-related tasks. Convolutional Neural Networks or convents are a type of deep learning model which we use to approach computer vision-related applications.

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Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Table of contents 1. The motivation behind Graph Neural Networks 2. GNN implementation on Karate network 4. Study papers on GNN The motivation behind Graph Neural Networks Graphs are receiving a lot […]. GNN Algorithm 3.

Neural Network 333

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Analytics Vidhya

SEPTEMBER 29, 2020

This article is part of the Data Science Blogathon. Introduction Neural networks are ubiquitous right now. The post A Quick History of Neural Networks appeared first on Analytics Vidhya. Organizations are splurging money on hardware and talent.

Neural Network 386

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Analytics Vidhya

NOVEMBER 9, 2021

This article was published as a part of the Data Science Blogathon In this article, I am going to build multiple neural network models to solve a regression problem. The post Neural Network for Regression with Tensorflow appeared first on Analytics Vidhya.

Neural Network 378

Neural Network Data Science Deep Learning Python 378

Analytics Vidhya

JANUARY 12, 2022

This article was published as a part of the Data Science Blogathon. Source: Reference 1 Introduction Tensorflow is a popular open-source machine learning framework developed by Google. It is primarily used by machine learning practitioners in research and industry for the training and inference of deep neural networks.

Deep Learning 373

Deep Learning Neural Network Machine Learning Data Science 373

Pickl AI

SEPTEMBER 15, 2024

Summary: Siamese Neural Networks use twin subnetworks to compare pairs of inputs and measure their similarity. They are effective in face recognition, image similarity, and one-shot learning but face challenges like high computational costs and data imbalance. What is a Siamese Neural Network?

Neural Network 52

Neural Network Deep Learning Convolutional Neural Networks Data Scarcity 52

Analytics Vidhya

MAY 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Deep Learning which is a subset of Machine Learning. The post Beginners Guide to Artificial Neural Network appeared first on Analytics Vidhya.

Neural Network 239

Neural Network Deep Learning Machine Learning Data Science 239

Analytics Vidhya

APRIL 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Is Gradient Descent sufficient for Neural Network? Introduction An important factor that is the basis of any. appeared first on Analytics Vidhya.

Neural Network 397

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Analytics Vidhya

JULY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Table Of Content Introduction Architecture Of Recurrent Neural Network Application Of. The post In-Depth Explanation Of Recurrent Neural Network appeared first on Analytics Vidhya.

Neural Network 337

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Analytics Vidhya

JUNE 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain Convolutional Neural Network and how. The post Building a Convolutional Neural Network Using TensorFlow – Keras appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 5, 2021

This article was published as a part of the Data Science Blogathon Introduction Deep learning is a subset of Machine Learning and Artificial Intelligence that imitates the way humans gain certain types of knowledge. It is essentially a neural network with three or more layers.

Deep Learning 394

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Analytics Vidhya

MARCH 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction The Tensorflow framework is an open end-to-end machine learning platform. It’s a symbolic math toolkit that integrates data flow and differentiable programming to handle various tasks related to deep neural network training and inference.

Deep Learning 386

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