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IT Services Circle
IT Services Circle
May 2, 2025 · Artificial Intelligence

Understanding Gradient Vanishing in Deep Neural Networks and How to Mitigate It

The article explains why deep networks suffer from gradient vanishing—especially when using sigmoid or tanh activations—covers the underlying mathematics, compares activation functions, and presents practical techniques such as proper weight initialization, batch normalization, residual connections, and code examples to visualize the phenomenon.

Deep LearningResNetactivation functions
0 likes · 7 min read
Understanding Gradient Vanishing in Deep Neural Networks and How to Mitigate It
Bilibili Tech
Bilibili Tech
Aug 27, 2024 · Artificial Intelligence

Multimodal Video Scene Classification for Adaptive Video Processing

The paper presents a multimodal video scene classification system that leverages CLIP‑generated pseudo‑labels and a fine‑tuned image encoder to automatically identify nature, animation/game, and document scenes, enabling more effective adaptive transcoding, intelligent restoration, and quality assessment for user‑generated content on platforms such as Bilibili.

Bilibili multimediaClipDeep Learning
0 likes · 17 min read
Multimodal Video Scene Classification for Adaptive Video Processing
Python Programming Learning Circle
Python Programming Learning Circle
Jul 6, 2021 · Artificial Intelligence

Understanding ResNet and Building It from Scratch with PyTorch

This article explains the motivation behind residual networks, describes the architecture of ResNet including residual blocks and skip connections, lists available Keras implementations, and provides a step‑by‑step PyTorch tutorial with complete code to construct and test ResNet‑50/101/152 models.

CNNDeep LearningPyTorch
0 likes · 10 min read
Understanding ResNet and Building It from Scratch with PyTorch
58 Tech
58 Tech
Oct 14, 2019 · Artificial Intelligence

Advertisement Image Recognition System for 58.com: Design, Implementation, and Performance

This article describes 58.com’s deep‑learning‑based advertisement image recognition platform, covering its background, system architecture, QR‑code detection, multi‑scale ResNet classification, category fusion, performance metrics, real‑world case studies, and online service statistics.

58.comQR codeResNet
0 likes · 9 min read
Advertisement Image Recognition System for 58.com: Design, Implementation, and Performance
360 Tech Engineering
360 Tech Engineering
May 21, 2019 · Artificial Intelligence

Understanding Residual Networks: Ideas, Mechanisms, Variants, and Insights

This article reviews the concept of residual networks, explains their working principle and data‑flow interpretation, discusses why they improve deep models, analyzes path‑length effects on gradients, and surveys various residual block designs and practical takeaways.

Deep LearningResNetensemble
0 likes · 9 min read
Understanding Residual Networks: Ideas, Mechanisms, Variants, and Insights
Qunar Tech Salon
Qunar Tech Salon
Aug 19, 2016 · Artificial Intelligence

Deep Learning Anti‑Scam Guide: A Non‑Technical Overview of Neural Networks, Training, and Practical Tips

This article provides a humorous yet informative, non‑mathematical guide to deep learning, covering neural network basics, layer addition, training methods, back‑propagation, unsupervised pre‑training, regularization, ResNet shortcuts, GPU computation, framework choices, and practical advice for applying deep learning to industrial data.

AIDeep LearningGPU
0 likes · 26 min read
Deep Learning Anti‑Scam Guide: A Non‑Technical Overview of Neural Networks, Training, and Practical Tips