Marktechpost

JUNE 7, 2024

Audio classification has evolved significantly with the adoption of deep learning models. Initially dominated by Convolutional Neural Networks (CNNs), this field has shifted towards transformer-based architectures, which offer improved performance and the ability to handle various tasks through a unified approach.

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Auto-classification Convolutional Neural Networks Deep Learning Neural Network 116

Marktechpost

JULY 31, 2024

This article lists the top TensorFlow courses that can help you gain the expertise needed to excel in the field of AI and machine learning. TensorFlow fundamentals This course introduces the fundamentals of deep learning with TensorFlow, covering key concepts and practical knowledge for building machine learning models.

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Neural Network Auto-classification Natural Language Processing Deep Learning 108

Heartbeat

MARCH 1, 2023

Tracking your image classification experiments with Comet ML Photo from nmedia on Shutterstock.com Introduction Image classification is a task that involves training a neural network to recognize and classify items in images. Before being fed into the network, the photos are pre-processed and shrunk to the same size.

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Convolutional Neural Networks Neural Network Auto-classification Categorization 52

Viso.ai

DECEMBER 3, 2023

How pose estimation works: Deep learning methods Use Cases and pose estimation applications How to get started with AI motion analysis Real-time full body pose estimation in construction – built with Viso Suite About us: Viso.ai Today, the most powerful image processing models are based on convolutional neural networks (CNNs).

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Becoming Human

MARCH 16, 2023

Photo by NASA on Unsplash Hello and welcome to this post, in which I will study a relatively new field in deep learning involving graphs — a very important and widely used data structure. This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications.

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Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87

Unite.AI

AUGUST 29, 2023

Also, in the current scenario, the data generated by different devices is sent to cloud platforms for processing because of the computationally intensive nature of network implementations. To design it, the developers used the gestures data set, and used the data set to train the ProtoNN model with a classification algorithm.

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Neural Network ML Algorithm Auto-classification 246

Heartbeat

JUNE 27, 2023

Neural networks leverage the structure and properties of graph and work in a similar fashion. Graph Neural Networks are a class of artificial neural networks that can be represented as graphs. Edge-level tasks , on the other hand, entail edge classification and link prediction.

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