Analytics Vidhya

MAY 29, 2023

A recurrent neural network is a class of artificial neural networks where connections between nodes can create a cycle, allowing output from some nodes to affect subsequent input to the same nodes.

Neural Network 293

Neural Network Natural Language Processing NLP 293

Marktechpost

DECEMBER 23, 2023

Deep Neural Networks (DNNs) represent a powerful subset of artificial neural networks (ANNs) designed to model complex patterns and correlations within data. These sophisticated networks consist of multiple layers of interconnected nodes, enabling them to learn intricate hierarchical representations.

Neural Network 125

Neural Network Machine Learning Natural Language Processing Computer Vision 125

Mlearning.ai

MAY 30, 2023

Recurrent Neural Networks (RNNs) have become a potent tool for analysing sequential data in the large subject of artificial intelligence and machine learning. As we know that Convolutional Neural Network (CNN) is used for structured arrays of data such as image data. RNN is used for sequential data.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Data Analysis 52

Unite.AI

MARCH 24, 2024

Bridging the Gap with Natural Language Processing Natural Language Processing (NLP) stands at the forefront of bridging the gap between human language and AI comprehension. NLP enables machines to understand, interpret, and respond to human language in a meaningful way.

Neural Network 354

Neural Network Robotics Natural Language Processing NLP 354

Analytics Vidhya

FEBRUARY 3, 2023

For example, researchers predicted that deep neural networks would eventually be used for autonomous image recognition and natural language processing as early as the 1980s. As a result, numerous researchers have focused on creating intelligent machines throughout history.

Neural Network 306

Neural Network Natural Language Processing AI AI 306

Marktechpost

DECEMBER 19, 2023

Natural language processing, conversational AI, time series analysis, and indirect sequential formats (such as pictures and graphs) are common examples of the complicated sequential data processing jobs involved in these.

Neural Network 135

Neural Network Natural Language Processing Deep Learning Artificial Intelligence 135

Analytics Vidhya

AUGUST 9, 2022

Introduction to Minerva [link] Google presented Minerva; a neural network created in-house that can break calculation questions and take on other delicate areas like quantitative reasoning. The model for natural language processing is called Minerva.

Neural Network 399

Neural Network Natural Language Processing Data Science Machine Learning 399

Analytics Vidhya

DECEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction In the past few years, Natural language processing has evolved a lot using deep neural networks. Many state-of-the-art models are built on deep neural networks.

BERT 378

BERT Neural Network Natural Language Processing Data Science 378

Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

Mlearning.ai

JANUARY 26, 2023

Introduction Natural language processing (NLP) sentiment analysis is a powerful tool for understanding people’s opinions and feelings toward specific topics. NLP sentiment analysis uses natural language processing (NLP) to identify, extract, and analyze sentiment from text data.

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Computer Vision 52

Mlearning.ai

JULY 4, 2023

Recurrent Neural Networks (RNNs) have gained a lot of popularity in the field of Natural Language Processing (NLP) because of their… Continue reading on MLearning.ai »

Neural Network 52

Neural Network Natural Language Processing NLP ML 52

Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. This process involves utilizing various NLP models and techniques to develop textual descriptions. Various algorithms are employed in image captioning, including: 1.

Natural Language Processing 52

Natural Language Processing Computer Vision NLP Algorithm 52

Heartbeat

AUGUST 21, 2023

In this guide, we’ll talk about Convolutional Neural Networks, how to train a CNN, what applications CNNs can be used for, and best practices for using CNNs. What Are Convolutional Neural Networks CNN? CNNs are artificial neural networks built to handle data having a grid-like architecture, such as photos or movies.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing Computer Vision 52

ODSC - Open Data Science

JUNE 9, 2023

The 1970s introduced bell bottoms, case grammars, semantic networks, and conceptual dependency theory. In the 90’s we got grunge, statistical models, recurrent neural networks and long short-term memory models (LSTM). It uses a neural network to learn the vector representations of words from a large corpus of text.

Natural Language Processing 52

Natural Language Processing Generative AI ChatGPT BERT 52

Dlabs.ai

DECEMBER 9, 2021

Natural language processing (NLP) is a core part of artificial intelligence. Natural Language Processing Succinctly Author : Joseph D. You’ll find all you need to know to build NLP solutions, starting with an overview of natural language processes and what the technology can do.

Natural Language Processing 59

Natural Language Processing Neural Network NLP Deep Learning 59

Marktechpost

DECEMBER 16, 2023

Trained on a dataset from six UK hospitals, the system utilizes neural networks, X-Raydar and X-Raydar-NLP, for classifying common chest X-ray findings from images and their free-text reports. The dataset, spanning 13 years, included 2,513,546 chest x-ray studies and 1,940,508 usable free-text radiological reports.

Neural Network 96

Neural Network Auto-classification NLP Natural Language Processing 96

Marktechpost

JANUARY 15, 2024

Transformers have taken over from recurrent neural networks (RNNs) as the preferred architecture for natural language processing (NLP). Transformers stand out conceptually because they directly access each token in a sequence, unlike RNNs that rely on maintaining a recurring state of past inputs.

Neural Network 113

Neural Network Natural Language Processing LLM NLP 113

Marktechpost

MAY 5, 2024

The course covers numerous algorithms of supervised and unsupervised learning and also teaches how to build neural networks using TensorFlow. Students learn to implement and analyze models like linear models, kernel machines, neural networks, and graphical models.

Machine Learning 118

Machine Learning Python Neural Network Convolutional Neural Networks 118

Mlearning.ai

APRIL 21, 2023

Natural Language Processing Transformers, the neural network architecture, that has taken the world of natural language processing (NLP) by storm, is a class of models that can be used for both language and image processing. Not this Transformers!! ?

Neural Network 52

Neural Network Natural Language Processing ChatGPT NLP 52

Marktechpost

JULY 12, 2023

Artificial neural networks have advanced significantly over the past few decades, propelled by the notion that more network complexity results in better performance. Modern technology has amazing processing capacity, enabling neural networks to perform these jobs excellently and efficiently.

Neural Network 98

Neural Network Computer Vision AI Researcher AI Research 98

Marktechpost

DECEMBER 5, 2023

The Hierarchically Gated Recurrent Neural Network (HGRN) technique developed by researchers from the Shanghai Artificial Intelligence Laboratory and MIT CSAI addresses the challenge of enhancing sequence modeling by incorporating forget gates in linear RNNs. If you like our work, you will love our newsletter.

Neural Network 102

Neural Network Artificial Intelligence Artificial Intelligence Natural Language Processing 102

Heartbeat

MARCH 22, 2023

Learn NLP data processing operations with NLTK, visualize data with Kangas , build a spam classifier, and track it with Comet Machine Learning Platform Photo by Stephen Phillips — Hostreviews.co.uk on Unsplash At its core, the discipline of Natural Language Processing (NLP) tries to make the human language “palatable” to computers.

Natural Language Processing 52

Natural Language Processing NLP Deep Learning Machine Learning 52

NVIDIA Developer

JUNE 2, 2021

Applications for natural language processing (NLP) have exploded in the past decade. Modern techniques can capture the nuance, context, and sophistication of language, just as humans do. Basic understanding of neural networks.

Natural Language Processing 40

Natural Language Processing Neural Network Deep Learning BERT 40

Mlearning.ai

AUGUST 22, 2023

Activation Functions in Neural Networks From the traditional Sigmoid and ReLU to cutting-edge activation functions like GeLU, this article delves into their significance, math, and guidelines for choosing the ideal function for your model. A Neural Network depicting Activations Functions in Action. Image by the Author.

Neural Network 52

Neural Network Algorithm Computer Vision Deep Learning 52

Marktechpost

MAY 1, 2024

It merges the robustness of symbolic reasoning with the adaptive learning capabilities of neural networks. This integration aims to harness the strong points of symbolic and neural approaches to create more versatile and reliable AI systems.

Neural Network 133

Neural Network Natural Language Processing AI AI 133

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

Unite.AI

NOVEMBER 6, 2023

Neural Network: Moving from Machine Learning to Deep Learning & Beyond Neural network (NN) models are far more complicated than traditional Machine Learning models. Advances in neural network techniques have formed the basis for transitioning from machine learning to deep learning.

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation.

Neural Network 204

Neural Network Robotics Natural Language Processing Convolutional Neural Networks 204

AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics.

Neural Network 197

Neural Network Convolutional Neural Networks Robotics Deep Learning 197

AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications.

Neural Network 208

Neural Network Natural Language Processing Robotics Deep Learning 208

Mlearning.ai

MAY 27, 2023

I have decided to refresh my skills in natural language processing(NLP), using Tensorflow. I have worked for a couple of days on a Kaggle… Continue reading on MLearning.ai »

Neural Network 52

Neural Network Natural Language Processing NLP ML 52

Marktechpost

MAY 5, 2024

However, the computational complexity associated with these mechanisms scales quadratically with sequence length, which becomes a significant bottleneck when managing long-context tasks such as genomics and natural language processing. The core of Orchid lies in its novel data-dependent convolution layer.

Deep Learning 133

Deep Learning BERT Neural Network Natural Language Processing 133

Marktechpost

APRIL 25, 2024

They use deep learning techniques to process and produce language in a contextually relevant manner. The development of LLMs, such as OpenAI’s GPT series, Google’s Gemini, Anthropic AI’s Claude, and Meta’s Llama models, marks a significant advancement in natural language processing.

Large Language Models 130

Large Language Models LLM Neural Network Natural Language Processing 130

IBM Journey to AI blog

APRIL 16, 2024

This addresses data management, conversational interface and natural language processing needs with efficiency. Also, Db2 seamlessly integrates with watsonx Assistant’s natural language processing capabilities to analyze unstructured data and derive insights.

Natural Language Processing 240

Natural Language Processing AI AI Generative AI 240

Probably Approximately a Scientific Blog

JANUARY 12, 2021

Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). With that said, the path to machine commonsense is unlikely to be brute force training larger neural networks with deeper layers. Is commonsense knowledge already captured by pre-trained language models?

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

Towards AI

APRIL 1, 2024

Step further: Then, I’ll discuss the basics of traditional models such as the time series autoregression model, Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) units, important for capturing how sequential data is processed. Machine learning can be regarded as the processes of encoding and decoding.

Neural Network 97

Neural Network Natural Language Processing Machine Learning AI 97

Analytics Vidhya

JULY 20, 2020

Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown. The post Transfer Learning for NLP: Fine-Tuning BERT for Text Classification appeared first on Analytics Vidhya.

BERT 400

BERT Convolutional Neural Networks NLP Neural Network 400