Viso.ai

FEBRUARY 11, 2024

It is a technique used in computer vision to identify and categorize the main content (objects) in a photo or video. 2015 – Microsoft researchers report that their Convolutional Neural Networks (CNNs) exceed human ability in pure ILSVRC tasks. One of the crucial tasks in today’s AI is the image classification.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

Viso.ai

JANUARY 16, 2024

Artificial Neural Networks (ANNs) are the cornerstone of modern artificial intelligence (AI). This diagram showcases how various layers interact in a neural network – source. This ANN’s training involves understanding and categorizing music based on human perceptions and emotions.

Neural Network 52

Neural Network Computer Vision Categorization Algorithm 52

Viso.ai

MARCH 26, 2024

described this model in the seminal paper titled “Attention is All You Need” in 2017. Uniquely, this model did not rely on conventional neural network architectures like convolutional or recurrent layers. without conventional neural networks. Vaswani et al.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Explosion

FEBRUARY 12, 2017

A neural bag-of-words model for text-pair classification When designing a neural network for a text-pair task, probably the most important decision is whether you want to represent the meanings of the texts independently , or jointly. Most NLP neural networks start with an embedding layer.

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Neural Network Deep Learning Natural Language Processing NLP 40

John Snow Labs

JUNE 2, 2023

Sentiment analysis, also known as opinion mining, is the process of computationally identifying and categorizing the subjective information contained in natural language text. These models can capture more complex patterns in the data and may perform better on more nuanced tasks such as sarcasm detection or emotion recognition.

Deep Learning 98

Deep Learning NLP Convolutional Neural Networks Neural Network 98

Snorkel AI

MARCH 1, 2023

Model architectures that qualify as “supervised learning”—from traditional regression models to random forests to most neural networks—require labeled data for training. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Radford et al. What are some examples of Foundation Models?

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In this example figure, features are extracted from raw historical data, which are then are fed into a neural network (NN). In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer. PBAs, such as GPUs, can be used for both these steps.

ML 94

ML Deep Learning Algorithm Large Language Models 94

Topbots

APRIL 11, 2023

LaMDA is built on Transformer , a neural network architecture that Google Research invented and open-sourced in 2017. Text classification for spam filtering, topic categorization, or document organization. How is the problem approached? Content generation for marketing, social media, or creative writing.

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

Explosion

AUGUST 1, 2019

Deep neural networks have offered a solution, by building dense representations that transfer well between tasks. In the last few years, research has shown that linguistic knowledge can be acquired effectively from unlabelled text, so long as the network is large enough to represent the long-tail of rare usage phenomena.

BERT 52

BERT NLP Neural Network Categorization 52

Probably Approximately a Scientific Blog

JANUARY 12, 2021

Types of commonsense: Commonsense knowledge can be categorized according to types, including but not limited to: Social commonsense: people are capable of making inferences about other people's mental states, e.g. what motivates them, what they are likely to do next, etc. In the last 3 years, language models have been ubiquitous in NLP.

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

Topbots

JULY 6, 2023

LaMDA is built on Transformer , a neural network architecture that Google Research invented and open-sourced in 2017. Text classification for spam filtering, topic categorization, or document organization. How is the problem approached? Content generation for marketing, social media, or creative writing.

LLM 52

LLM Large Language Models Natural Language Processing OpenAI 52

Viso.ai

AUGUST 20, 2024

When the network completes several transactions, a large amount of data is gathered, which may be processed and categorized using AI algorithms. 2017) researched how blockchain technology can modernize and automate energy and IoT infrastructure toward a stable system.

AI Modeling 52

AI Modeling AI AI Computer Vision 52

AWS Machine Learning Blog

AUGUST 7, 2023

LLMs are neural networks that have been trained using a massive number of parameters, typically in the order of billions, using unlabeled data. Due to the sequential nature of text, recurrent neural networks (RNNs) had been the state of the art for NLP modeling. Attention is All You Need” Radford et al.,

Large Language Models 83

Large Language Models LLM BERT NLP 83