Analytics Vidhya

FEBRUARY 17, 2020

Introduction Convolutional neural networks (CNN) – the concept behind recent breakthroughs and developments in deep learning. The post Learn Image Classification on 3 Datasets using Convolutional Neural Networks (CNN) appeared first on Analytics Vidhya. CNNs have broken the mold and ascended the.

Convolutional Neural Networks 400

Convolutional Neural Networks Neural Network Deep Learning Computer Vision 400

Analytics Vidhya

DECEMBER 14, 2020

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. Introduction: Hi everyone, recently while participating in a Deep Learning competition, I.

Neural Network 392

Neural Network Deep Learning Data Science Convolutional Neural Networks 392

Analytics Vidhya

FEBRUARY 16, 2020

Overview Check out 3 different types of neural networks in deep learning Understand when to use which type of neural network for solving a. The post CNN vs. RNN vs. MLP – Analyzing 3 Types of Neural Networks in Deep Learning appeared first on Analytics Vidhya.

Neural Network 400

Neural Network Deep Learning Convolutional Neural Networks Algorithm 400

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

Unite.AI

MAY 2, 2024

As AI technology progresses, the intricacy of neural networks increases, creating a substantial need for more computational power and energy. In response, researchers are delving into a novel integration of two progressive fields: optical neural networks (ONNs) and neuromorphic computing.

Neural Network 326

Neural Network AI AI Artificial Intelligence 326

Analytics Vidhya

JUNE 18, 2024

Introduction This article will examine machine learning (ML) vs neural networks. Machine learning and Neural Networks are sometimes used synonymously. Even though neural networks are part of machine learning, they are not exactly synonymous with each other. appeared first on Analytics Vidhya.

Neural Network 317

Neural Network Machine Learning ML Algorithm 317

Analytics Vidhya

FEBRUARY 25, 2023

Though we have traditional machine learning algorithms, deep learning plays an important role in many tasks better than […] The post Introduction to Neural Network: Build your own Network appeared first on Analytics Vidhya.

Neural Network 336

Neural Network Computer Vision Natural Language Processing Deep Learning 336

Analytics Vidhya

APRIL 22, 2024

Introduction Deep learning is a fascinating field that explores the mysteries of gradients and their impact on neural networks. Through vivid visualization and […] The post Exploring Vanishing and Exploding Gradients in Neural Networks appeared first on Analytics Vidhya.

Neural Network 316

Neural Network Deep Learning Data Analysis Algorithm 316

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

JANUARY 25, 2024

Introduction Neural networks have revolutionized artificial intelligence and machine learning. These powerful algorithms can solve complex problems by mimicking the human brain’s ability to learn and make decisions. However, certain problems pose a challenge to neural networks, and one such problem is the XOR problem.

Neural Network 313

Neural Network Artificial Intelligence Artificial Intelligence Machine Learning 313

Analytics Vidhya

MAY 27, 2023

Introduction Classifying emotions in sentence text using neural networks involves attributing feelings to a piece of text. It can be achieved through techniques like neural networks or lexicon-based methods. Neural networks involve training a model on tagged text data to predict emotions in new text.

Neural Network 327

Neural Network Algorithm Machine Learning 327

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

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

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. And why do Graph Neural Networks matter in 2023? We find that the term Graph Neural Network consistently ranked in the top 3 keywords year over year.

Neural Network 317

Neural Network Deep Learning AI AI 317

Analytics Vidhya

APRIL 1, 2023

In simple terms, suppose you want to ascertain the probability of whether your friends […] The post Bayesian Networks – Probabilistic Neural Network (PNN) appeared first on Analytics Vidhya. It uses conditional probabilities to improve the prior probabilities, which results in posterior probabilities.

Neural Network 306

Neural Network Algorithm 306

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. The post What are Graph Neural Networks, and how do they work?

Neural Network 306

Neural Network Data Mining Deep Learning Data Science 306

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

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

JANUARY 30, 2022

The post Activation Functions for Neural Networks and their Implementation in Python appeared first on Analytics Vidhya.

Neural Network 270

Neural Network Python Data Science Algorithm 270

Analytics Vidhya

JUNE 5, 2023

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

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

Towards AI

FEBRUARY 12, 2025

Backpropagation is the ingenious algorithm that allows neural networks to truly learn from their mistakes. Its the mechanism by which they analyze their errors and adjust their internal parameters (weights and biases) to improve their future performance.

Neural Network 87

Neural Network Algorithm AI AI 87

Towards AI

FEBRUARY 11, 2025

Source: Scaler In our ongoing journey to decode the inner workings of neural networks, weve explored the fundamental building blocks the perceptron, MLPs, and weve seen how these models harness the power of activation functions to tackle non-linear problems. The answer lies in loss functions.

Neural Network 90

Neural Network Algorithm AI AI 90

Unite.AI

DECEMBER 7, 2024

At its core, the Iris AI engine operates as a sophisticated neural network that continuously monitors and analyzes social signals across multiple platforms, transforming raw social data into actionable intelligence for brand protection and marketing optimization.

AI Tools 278

AI Tools Automation NLP Algorithm 278

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

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

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

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? What is a neural network? Machine learning is a subset of AI.

Neural Network 178

Neural Network Deep Learning Machine Learning Artificial Intelligence 178

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. Advancements in technologies like neural networks, which are vital for deep learning due to their design inspired by the human brain, are playing an essential role in the development of ASI.

Neural Network 259

Neural Network Large Language Models Deep Learning Artificial Intelligence 259

Analytics Vidhya

SEPTEMBER 12, 2023

Introduction Neuroevolution is a captivating field where AI merges neural networks and evolutionary algorithms to nurture its creative abilities. It’s akin to AI’s artistic or musical journey, allowing it to paint masterpieces and compose symphonies.

Neural Network 348

Neural Network Algorithm AI AI 348

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

Analytics Vidhya

JULY 22, 2024

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. Introduction In this article, we dive into the top 10 publications that have transformed artificial intelligence and machine learning.

Machine Learning 327

Machine Learning Neural Network Artificial Intelligence Artificial Intelligence 327

Unite.AI

NOVEMBER 19, 2024

In the 1960s, researchers developed adaptive techniques like genetic algorithms. These algorithms replicated natural evolutionary process, enabling solutions to improve over time. Today, machine learning and neural networks build on these early ideas.

Automation 278

Automation AI AI Neural Network 278

Analytics Vidhya

AUGUST 23, 2021

Image by my great learning Introduction Gradient descent is an optimization algorithm that is used to train machine learning models and is now used in a neural network. This article was published as a part of the Data Science Blogathon Building a simple Machine Learning model using Pytorch from scratch.

Machine Learning 400

Machine Learning Neural Network Data Science Algorithm 400