Pickl AI

APRIL 6, 2025

Summary: Deep Learning vs Neural Network is a common comparison in the field of artificial intelligence, as the two terms are often used interchangeably. BERT) and decoder-only (e.g., However, they differ in complexity and application. GPT) variants are very popular.

Neural Network 52

Neural Network Deep Learning Natural Language Processing Convolutional Neural Networks 52

ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

Unite.AI

AUGUST 2, 2023

Furthermore, the data for speech recognition, the model encodes the data using a multi-layer 1-D convolutional neural network that maps the 16 kHz waveforms into 50 Hz representations. Here is how the data2vec model parameterizes the teacher mode to predict the network representations that then serve as targets.

Computer Vision 246

Computer Vision Algorithm Natural Language Processing Convolutional Neural Networks 246

Unite.AI

OCTOBER 22, 2024

Artificial Intelligence (AI) is changing our world incredibly, influencing industries like healthcare, finance, and retail. AI models like neural networks , used in applications like Natural Language Processing (NLP) and computer vision , are notorious for their high computational demands.

Neural Network 147

Neural Network Convolutional Neural Networks Deep Learning Natural Language Processing 147

Marktechpost

MARCH 20, 2025

Case studies from five cities demonstrate reductions in carbon emissions and improvements in quality of life metrics." }, { "id": 6, "title": "Neural Networks for Computer Vision", "abstract": "Convolutional neural networks have revolutionized computer vision tasks.

Natural Language Processing 59

Natural Language Processing Convolutional Neural Networks Neural Network Computer Vision 59

Marktechpost

APRIL 6, 2024

Transformers have transformed the field of NLP over the last few years, with LLMs like OpenAI’s GPT series, BERT, and Claude Series, etc. in 2017, marking a departure from the previous reliance on recurrent neural networks (RNNs) and convolutional neural networks (CNNs) for processing sequential data.

Large Language Models 122

Large Language Models NLP Convolutional Neural Networks Neural Network 122

Marktechpost

JANUARY 15, 2025

Technical Details and Benefits Deep learning relies on artificial neural networks composed of layers of interconnected nodes. Notable architectures include: Convolutional Neural Networks (CNNs): Designed for image and video data, CNNs detect spatial patterns through convolutional operations.

Deep Learning 87

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 87

Marktechpost

APRIL 20, 2024

Deep neural networks like convolutional neural networks (CNNs) have revolutionized various computer vision tasks, from image classification to object detection and segmentation. As models grew larger and more complex, their accuracy soared.

Machine Learning 103

Machine Learning Neural Network Convolutional Neural Networks Computer Vision 103

Mlearning.ai

APRIL 8, 2023

What is Natural Language Processing (NLP) Natural Language Processing (NLP) is a subfield of artificial intelligence (AI) that deals with interactions between computers and human languages. 2017) “ BERT: Pre-training of deep bidirectional transformers for language understanding ” by Devlin et al.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

Unite.AI

APRIL 26, 2024

The introduction of the transformer framework proved to be a milestone, facilitating the development of a new wave of language models, including OPT and BERT, which exhibit profound linguistic understanding. The advancements in large language models have significantly accelerated the development of natural language processing , or NLP.

Large Language Models 162

Large Language Models Natural Language Processing Convolutional Neural Networks Neural Network 162

Unite.AI

JUNE 21, 2024

The field of artificial intelligence (AI) has witnessed remarkable advancements in recent years, and at the heart of it lies the powerful combination of graphics processing units (GPUs) and parallel computing platform.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out his talk, “ Bagging to BERT — A Tour of Applied NLP ,” there! In the first example, we’ll be defining an architecture based on a Convolutional Neural Network (CNN) The dataset We’ll be using the same dataset as last time; a collection of 50k reviews from IMDB which are labeled as either positive or negative.

Deep Learning 98

Deep Learning Convolutional Neural Networks NLP Neural Network 98

Marktechpost

DECEMBER 12, 2024

The deep aspect of DNNs comes from multiple hidden layers, which allow the network to learn and model complex patterns and relationships in data. DNNs are the backbone of many advanced artificial intelligence applications, including image recognition, natural language processing, and autonomous systems.

Neural Network 57

Neural Network Convolutional Neural Networks Natural Language Processing Artificial Intelligence 57

Snorkel AI

MARCH 1, 2023

Foundation Models (FMs), such as GPT-3 and Stable Diffusion, mark the beginning of a new era in machine learning and artificial intelligence. BERT BERT, an acronym that stands for “Bidirectional Encoder Representations from Transformers,” was one of the first foundation models and pre-dated the term by several years.

BERT 83

BERT Natural Language Processing Large Language Models NLP 83

Marktechpost

SEPTEMBER 30, 2024

While the Adam optimizer has become the standard for training Transformers, stochastic gradient descent with momentum (SGD), which is highly effective for convolutional neural networks (CNNs), performs worse on Transformer models. A significant challenge in this domain is the inconsistency in optimizer performance.

Neural Network 57

Neural Network Convolutional Neural Networks BERT Explainability 57

Viso.ai

MARCH 20, 2024

Foundation models are recent developments in artificial intelligence (AI). Models like GPT 4, BERT, DALL-E 3, CLIP, Sora, etc., Use Cases for Foundation Models Applications in Pre-trained Language Models like GPT, BERT, Claude, etc. Unlike GPT models, BERT is bidirectional. with labeled data.

AI Development 52

AI Development AI Developer Computer Vision BERT 52

Topbots

OCTOBER 4, 2023

Basic Definitions Generative AI and predictive AI are two powerful types of artificial intelligence with a wide range of applications in business and beyond. Image processing : Predictive image processing models, such as convolutional neural networks (CNNs), can classify images into predefined labels (e.g.,

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

Unite.AI

APRIL 2, 2024

These deep learning image restoration models propose to use neural networks based on Transformers and Convolutional Neural Networks. Recent deep learning methods have displayed stronger and more consistent performance when compared to traditional image restoration methods.

Computer Vision 130

Computer Vision Neural Network Convolutional Neural Networks Deep Learning 130

Pickl AI

AUGUST 14, 2024

Neural networks come in various forms, each designed for specific tasks: Feedforward Neural Networks (FNNs) : The simplest type, where connections between nodes do not form cycles. Today, they are at the forefront of artificial intelligence research and applications.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

Viso.ai

JULY 9, 2024

In today’s digital world, Artificial Intelligence (AI) and Machine learning (ML) models are used everywhere, from face detection in electronic devices to real-time language translation. But, there are open source models like German-BERT that are already trained on huge data corpora, with many parameters.

Neural Network 52

Neural Network BERT Deep Learning Computer Vision 52

Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. To truly harness the potential of artificial intelligence, we must embrace a holistic understanding of these multi-modal inputs. It's a multi-modal landscape filled with images, audio, and video.

Large Language Models 59

Large Language Models Neural Network Convolutional Neural Networks Artificial Intelligence 59

Pragnakalp

JANUARY 1, 2024

Mistral AI proudly presents Mistral 7B, an intelligent solution designed to understand and manipulate language in a manner similar to human perception. It’s a powerful but simple artificial intelligence that learns from a large amount of data to help computers better speak and understand human language.

Neural Network 52

Neural Network Natural Language Processing Convolutional Neural Networks NLP 52

Viso.ai

MARCH 26, 2024

Attention mechanisms allow artificial intelligence (AI) models to dynamically focus on individual elements within visual data. Source ) This has led to groundbreaking models like GPT for generative tasks and BERT for understanding context in Natural Language Processing ( NLP ).

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Viso.ai

DECEMBER 18, 2023

Real-World Applications of ONNX We can view ONNX as a sort of Rosetta stone of artificial intelligence (AI). Known for its efficiency in training convolutional neural networks, CNTK is especially notable in speech and image recognition tasks. Microsoft Cognitive Toolkit (CNTK). Apache MXNet.

Explainability 52

Explainability Neural Network Deep Learning Machine Learning 52

Viso.ai

MARCH 26, 2024

The integration of Artificial Intelligence (AI) technologies within the finance industry has fully transitioned from experimental to indispensable. Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. 1: Fraud Detection and Prevention No.2:

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

ML Review

DECEMBER 16, 2019

NeurIPS’18 presented several papers with deep theoretical studies of building hyperbolic neural nets. Source: Chami et al Chami et al present Hyperbolic Graph Convolutional Neural Networks (HGCN) and Liu et al propose Hyperbolic Graph Neural Networks (HGNN).

Machine Learning 52

Machine Learning Neural Network Explainability NLP 52

Unite.AI

FEBRUARY 8, 2025

In 2017, a significant change reshaped Artificial Intelligence (AI). Models like BERT and GPT took language understanding to new depths by grasping the context of words more effectively. This change has allowed ViTs to outperform Convolutional Neural Networks (CNNs) in image classification and object detection tasks.

Convolutional Neural Networks 272

Convolutional Neural Networks Neural Network Natural Language Processing Robotics 272

John Snow Labs

MAY 8, 2024

Nevertheless, the trajectory shifted remarkably with the introduction of advanced architectures like BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer), including subsequent versions such as OpenAI’s GPT-3.

Large Language Models 40

Large Language Models Automation NLP Machine Learning 40

Marktechpost

JUNE 27, 2023

Since this is a crucial component of any deep learning or convolutional neural network system. Network convergence occurs more quickly when internal normalization is used more than external normalizing. ReLU (Rectified Linear unit) Activation Function Nowadays, the ReLU is the most popular activation function.

Neural Network 52

Neural Network Convolutional Neural Networks Deep Learning NLP 52