Analytics Vidhya

FEBRUARY 10, 2020

Overview Convolutional neural networks (CNNs) are all the rage in the deep learning and computer vision community How does this CNN architecture work? The post Demystifying the Mathematics Behind Convolutional Neural Networks (CNNs) appeared first on Analytics Vidhya. We’ll.

Convolutional Neural Networks 343

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 343

Analytics Vidhya

SEPTEMBER 6, 2021

The motivation behind Graph Neural Networks 2. GNN Algorithm 3. GNN implementation on Karate network 4. Study papers on GNN The motivation behind Graph Neural Networks Graphs are receiving a lot […]. The post Getting Started with Graph Neural Networks appeared first on Analytics Vidhya.

Neural Network 343

Neural Network Data Science Algorithm Deep Learning 343

Unite.AI

MARCH 9, 2025

What sets AI apart is its ability to continuously learn and refine its algorithms, leading to rapid improvements in efficiency and performance. Companies like Tesla , Nvidia , Google DeepMind , and OpenAI lead this transformation with powerful GPUs, custom AI chips, and large-scale neural networks.

Neural Network 312

Neural Network Deep Learning Algorithm AI 312

Analytics Vidhya

APRIL 1, 2021

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

Neural Network 397

Neural Network Data Science Algorithm Deep Learning 397

Analytics Vidhya

APRIL 5, 2022

Introduction In the former article, we looked at how RNNs are different from standard NN and what was the reason behind using this algorithm. The post Recurrent Neural Networks: Digging a bit deeper appeared first on Analytics Vidhya.

Neural Network 358

Neural Network Data Science Algorithm Deep Learning 358

Analytics Vidhya

JULY 23, 2020

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

Neural Network 400

Neural Network Python Algorithm Deep Learning 400

Analytics Vidhya

JUNE 8, 2023

Introduction to Deep Learning Deep learning is a branch of artificial intelligence (AI) that teaches neural networks to learn and reason. Its capacity to resolve complicated issues and deliver cutting-edge performance in various sectors has attracted significant interest and appeal in recent years.

Deep Learning 319

Deep Learning Artificial Intelligence Artificial Intelligence Neural Network 319

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?

Neural Network 317

Neural Network Deep Learning AI AI 317

Analytics Vidhya

OCTOBER 8, 2020

Introduction I have been thinking of writing something related to Recurrent Neural. The post Recurrent Neural Networks for Sequence Learning appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Neural Network 380

Neural Network Data Science Algorithm Deep Learning 380

Analytics Vidhya

MARCH 1, 2022

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. Deep Learning’s application to tasks such as object identification and voice recognition through the use of techniques […].

Neural Network 306

Neural Network Data Mining Deep Learning Data Science 306

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 5, 2023

Introduction Long Short Term Memory (LSTM) is a type of deep learning system that anticipates property leases. Rental markets are influenced by diverse factors, and LSTM’s ability to capture and remember […] The post A Deep Dive into LSTM Neural Network-based House Rent Prediction appeared first on Analytics Vidhya.

Neural Network 306

Neural Network Deep Learning Algorithm 306

IBM Journey to AI blog

MAY 10, 2024

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. Deep learning requires a tremendous amount of computing power.

Deep Learning 310

Deep Learning Neural Network Artificial Intelligence Artificial Intelligence 310

Analytics Vidhya

JANUARY 28, 2022

Introduction Feedforward Neural Networks, also known as Deep feedforward Networks or Multi-layer Perceptrons, are the focus of this article. For example, Convolutional and Recurrent Neural Networks (which are used extensively in computer vision applications) are based on these networks.

Neural Network 312

Neural Network Computer Vision Data Science Algorithm 312

Analytics Vidhya

MARCH 10, 2022

Apple’s Siri and Google’s voice search both use Recurrent Neural Networks (RNNs), which are the state-of-the-art method for sequential data. It’s the first algorithm with an internal memory that remembers its input, making it perfect for problems involving sequential data in machine learning.

Neural Network 306

Neural Network Machine Learning Data Science Algorithm 306

IBM Journey to AI blog

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

Neural Network 178

Neural Network Deep Learning Machine Learning Artificial Intelligence 178

ML @ CMU

JANUARY 2, 2025

We use a model-free actor-critic approach to learning, with the actor and critic implemented using distinct neural networks. In practice, our algorithm is off-policy and incorporates mechanisms such as two critic networks and target networks as in TD3 ( fujimoto et al.,

Neural Network 134

Neural Network Explainability Algorithm Deep Learning 134

Analytics Vidhya

JUNE 18, 2021

The post The Challenge of Vanishing/Exploding Gradients in Deep Neural Networks appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon This article explains the problem of exploding and vanishing gradients while.

Neural Network 329

Neural Network Data Science Explainability Algorithm 329

Analytics Vidhya

NOVEMBER 6, 2020

The post A Short Intuitive Explanation of Convolutional Recurrent Neural Networks appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction Hello! Today I am going to try my best in explaining.

Neural Network 291

Neural Network Data Science Explainability Convolutional Neural Networks 291

Analytics Vidhya

MARCH 15, 2021

ArticleVideo Book Introduction In a Neural Network, the Gradient Descent Algorithm is used during the backward propagation to update the parameters of the model. The post Variants of Gradient Descent Algorithm appeared first on Analytics Vidhya.

Algorithm 336

Algorithm Neural Network Deep Learning 336

Analytics Vidhya

SEPTEMBER 29, 2023

Introduction In deep learning, optimization algorithms are crucial components that help neural networks learn efficiently and converge to optimal solutions.

Neural Network 336

Neural Network Deep Learning Algorithm Machine Learning 336

Unite.AI

OCTOBER 27, 2024

The ecosystem has rapidly evolved to support everything from large language models (LLMs) to neural networks, making it easier than ever for developers to integrate AI capabilities into their applications. is its intuitive approach to neural network training and implementation. environments. TensorFlow.js TensorFlow.js

Neural Network 162

Neural Network Machine Learning NLP Natural Language Processing 162

Analytics Vidhya

JANUARY 27, 2022

Introduction Over the past several years, groundbreaking developments in machine learning and artificial intelligence have reshaped the world around us. There are various deep learning algorithms that bring Machine Learning to a new level, allowing robots to learn to discriminate tasks utilizing the human […].

Deep Learning 271

Deep Learning Machine Learning Robotics Artificial Intelligence 271

AI News

JULY 24, 2023

AI News spoke with Damian Bogunowicz, a machine learning engineer at Neural Magic , to shed light on the company’s innovative approach to deep learning model optimisation and inference on CPUs. One of the key challenges in developing and deploying deep learning models lies in their size and computational requirements.

Deep Learning 241

Deep Learning Large Language Models Neural Network Big Data 241

Analytics Vidhya

MARCH 20, 2024

Introduction Optimizing deep learning is a critical aspect of training efficient and accurate neural networks. Various optimization algorithms have been developed to improve the convergence speed.

Neural Network 289

Neural Network Deep Learning Algorithm 289

Analytics Vidhya

OCTOBER 17, 2022

Introduction Neural networks (Artificial Neural Networks) are methods or algorithms that mimic a human brain’s operations to solve a complex problem that a normal algorithm can’t solve. A Perceptron in neural networks is a unit or algorithm which takes input values, weights, and […].

Neural Network 353

Neural Network Algorithm Data Science Deep Learning 353

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.

Convolutional Neural Networks 328

Convolutional Neural Networks Neural Network Deep Learning Algorithm 328

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.

Neural Network 109

Neural Network Deep Learning Computer Vision Python 109

Unite.AI

FEBRUARY 12, 2025

The fast progress in AI technologies like machine learning, neural networks , and Large Language Models (LLMs) is bringing us closer to ASI. AGI, still under development, seeks to create machines that can think, learn, and comprehend a variety of functions like human abilities.

Neural Network 259

Neural Network Large Language Models Deep Learning Artificial Intelligence 259

Analytics Vidhya

OCTOBER 20, 2021

we are now at a point where deep learning and neural networks are so powerful that can […]. The post An End-to-End Introduction to Generative Adversarial Networks(GANs) appeared first on Analytics Vidhya. The technological advancement in different sectors has left everyone shocked.

Neural Network 379

Neural Network Deep Learning Data Science Computer Vision 379

Analytics Vidhya

JULY 25, 2022

It uses Machine Learning-based Model Algorithms and Deep Learning-based Neural Networks for its implementation. […]. The post YOLO: An Ultimate Solution to Object Detection and Classification appeared first on Analytics Vidhya.

Neural Network 306

Neural Network Computer Vision Deep Learning Artificial Intelligence 306

Pickl AI

JANUARY 29, 2025

Summary: This article presents 10 engaging Deep Learning projects for beginners, covering areas like image classification, emotion recognition, and audio processing. Each project is designed to provide practical experience and enhance understanding of key concepts in Deep Learning. What is Deep Learning?

Deep Learning 52

Deep Learning Neural Network Natural Language Processing Computer Vision 52

Marktechpost

JANUARY 24, 2024

Artificial Intelligence has witnessed a revolution, largely due to advancements in deep learning. This shift is driven by neural networks that learn through self-supervision, bolstered by specialized hardware. Before the advent of deep learning, data representation often involved manually curated feature vectors.

Neural Network 135

Neural Network Deep Learning Computer Vision Big Data 135

Analytics Vidhya

JULY 22, 2024

Introduction In this article, we dive into the top 10 publications that have transformed artificial intelligence and machine learning. We’ll take you through a thorough examination of recent advancements in neural networks and algorithms, shedding light on the key ideas behind modern AI.

Machine Learning 327

Machine Learning Neural Network Artificial Intelligence Artificial Intelligence 327

Unite.AI

MAY 8, 2024

The ability to effectively represent and reason about these intricate relational structures is crucial for enabling advancements in fields like network science, cheminformatics, and recommender systems. Graph Neural Networks (GNNs) have emerged as a powerful deep learning framework for graph machine learning tasks.

Neural Network 182

Neural Network Large Language Models LLM BERT 182

The MLOps Blog

MARCH 13, 2025

Abstracting away the specifics of his case, this is one example of an application in which an AI algorithm’s performance looked good on paper during its development but led to bad decisions once deployed. He speculates that many children die needlessly each year in the same way. But how is that possible?

Deep Learning 59

Deep Learning Neural Network Machine Learning Algorithm 59

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). Key topics include CNNs, RNNs, SLAM, and object tracking.

Computer Vision 103

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 103