AssemblyAI

JANUARY 23, 2025

Unlike many natural language processing (NLP) models, which were historically dominated by recurrent neural networks (RNNs) and, more recently, transformers, wav2letter is designed entirely using convolutional neural networks (CNNs). What sets wav2letter apart is its unique architecture.

Python 130

Python Convolutional Neural Networks Neural Network OpenAI 130

AWS Machine Learning Blog

NOVEMBER 26, 2024

Name a product and extract metadata to generate a tagline and description In the field of marketing and product development, coming up with a perfect product name and creative promotional content can be challenging. The image was generated using the Stability AI (SDXL 1.0) model on Amazon Bedrock.

LLM 106

LLM Convolutional Neural Networks Metadata Explainability 106

AWS Machine Learning Blog

MAY 15, 2023

Algorithm Selection Amazon Forecast has six built-in algorithms ( ARIMA , ETS , NPTS , Prophet , DeepAR+ , CNN-QR ), which are clustered into two groups: statististical and deep/neural network. Deep/neural network algorithms also perform very well on sparse data set and in cold-start (new item introduction) scenarios.

Neural Network 97

Neural Network Convolutional Neural Networks Metadata Data Scientist 97

AssemblyAI

SEPTEMBER 22, 2023

The model is trained conditionally on text metadata alongside audio file duration and initiation time. As for any diffusion model , Stable Audio adds noise to the audio vector, which a U-Net Convolutional Neural Network learns to remove, guided by the text and timing embeddings.

Convolutional Neural Networks 246

Convolutional Neural Networks AI AI Data Scarcity 246

Unite.AI

JULY 31, 2023

However, this approach needs to filter images, and it works best only when a textual metadata is present. The figure below compares the pre-training of a ResNetXt101-32dx8d architecture trained on random images with the same architecture being trained on labeled images with hashtags and metadata, and reports the top-1 accuracy for both.

Computer Vision 246

Computer Vision Metadata Natural Language Processing ML 246

Marktechpost

SEPTEMBER 29, 2024

In response, Google utilizes a deep neural network, CTG-net, to process the time-series data of fetal heart rate (FHR) and uterine contractions (UC) in order to predict fetal hypoxia. The CTG-net model utilizes a convolutional neural network (CNN) architecture to analyze FHR and UC signals, learning their temporal relationships.

Deep Learning 62

Deep Learning Convolutional Neural Networks AI Researcher AI Research 62

DataRobot Blog

MARCH 9, 2022

The Amazon Product Reviews Dataset provides over 142 million Amazon product reviews with their associated metadata, allowing machine learning practitioners to train sentiment models using product ratings as a proxy for the sentiment label. Because these networks are recurrent, they are ideal for working with sequential data such as text.

Machine Learning 52

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 52