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A Guide to Convolutional Neural Networks

Heartbeat

In this guide, we’ll talk about Convolutional Neural Networks, how to train a CNN, what applications CNNs can be used for, and best practices for using CNNs. What Are Convolutional Neural Networks CNN? CNNs learn geometric properties on different scales by applying convolutional filters to input data.

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Artificial Neural Network: A Comprehensive Guide

Pickl AI

Summary: Artificial Neural Network (ANNs) are computational models inspired by the human brain, enabling machines to learn from data. Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and Machine Learning , revolutionising how computers process information and learn from data.

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This Paper Explores the Application of Deep Learning in Blind Motion Deblurring: A Comprehensive Review and Future Prospects

Marktechpost

The researchers present a categorization system that uses backbone networks to organize these methods. Most picture deblurring methods use paired images to train their neural networks. The initial step is using a neural network to estimate the blur kernel. Two steps comprised the process of deblurring images.

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Researchers from China Introduce DualToken-ViT: A Fusion of CNNs and Vision Transformers for Enhanced Image Processing Efficiency and Accuracy

Marktechpost

This is because, whereas the size of the convolutional kernel constrains convolutional neural networks (CNNs) and can only extract local information, self-attention can remove global information from the picture, delivering adequate and meaningful visual characteristics.

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How to Visualize Deep Learning Models

The MLOps Blog

Example of a deep learning visualization: small convolutional neural network CNN, notice how the thickness of the colorful lines indicates the weight of the neural pathways | Source How is deep learning visualization different from traditional ML visualization? Let’s take a computer vision model as an example.

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Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Unite.AI

To augment the data quality, the Mini-Gemini framework collects and produces more data based on public resources, including task-oriented instructions, generation-related data, and high-resolution responses, with the increased amount and enhanced quality improving the overall performance and capabilities of the model.

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Deep Learning Challenges in Software Development

Heartbeat

Deep learning is a branch of machine learning that makes use of neural networks with numerous layers to discover intricate data patterns. Deep learning models use artificial neural networks to learn from data. Deep learning models use artificial neural networks to learn from data.