Remove Artificial Intelligence Remove Auto-classification Remove Convolutional Neural Networks
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Taming Long Audio Sequences: Audio Mamba Achieves Transformer-Level Performance Without Self-Attention

Marktechpost

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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Top TensorFlow Courses

Marktechpost

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning This course teaches you how to use TensorFlow to build scalable AI models, starting with a soft introduction to Machine Learning and Deep Learning principles.

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Understanding Graph Neural Network with hands-on example| Part-1

Becoming Human

This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications. Through the next series of this post here , I will try to make an implementation of Graph Convolutional Neural Network. So, let’s get started! What are Graphs?

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TinyML: Applications, Limitations, and It’s Use in IoT & Edge Devices

Unite.AI

In the past few years, Artificial Intelligence (AI) and Machine Learning (ML) have witnessed a meteoric rise in popularity and applications, not only in the industry but also in academia. 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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Training a Custom Image Classification Network for OAK-D

PyImageSearch

Table of Contents Training a Custom Image Classification Network for OAK-D Configuring Your Development Environment Having Problems Configuring Your Development Environment? Furthermore, this tutorial aims to develop an image classification model that can learn to classify one of the 15 vegetables (e.g.,

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

One of the broad key challenges in artificial intelligence is to build systems that can perform multi-step reasoning, learning to break down complex problems into smaller tasks and combining solutions to those to address the larger problem. language models, image classification models, or speech recognition models).

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How to Create Synthetic Data to Train Deep Learning Algorithms?

Dlabs.ai

In deep learning, a computer algorithm uses images, text, or sound to learn to perform a set of classification tasks. Say, you want to auto-detect headers in a document. Artificial Intelligence is changing the world as we know it as businesses in every sector achieve the seemingly impossible. Connect With DLabs.AI