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Artificial Intelligence && Deep Learning

Artificial Intelligence && Deep Learning

前往频道在 Telegram

Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers With advertising offers contact:

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📈 Telegram 频道 Artificial Intelligence && Deep Learning 的分析概览

频道 Artificial Intelligence && Deep Learning (@deeplearning_ai) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 58 017 名订阅者,在 技术与应用 类别中位列第 2 287,并在 印度 地区排名第 5 975

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 58 017 名订阅者。

根据 26 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -185,过去 24 小时变化为 -1,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 9.83%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 0 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 0
  • 主题关注点: 内容集中在 github, learning, estimation, dataset, engineer 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers With advertising offers contact:

凭借高频更新(最新数据采集于 27 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

58 017
订阅者
-124 小时
-107
-18530
帖子存档
What a text recognition system actually sees Some insights into the neural network “black box” of a text recognition system

The best of GAN papers in the year 2018

The 25 Best Data Science and Machine Learning GitHub Repositories from 2018

Want to become a Data Scientist? Here is the resource.... visit and subscribe visit and subscrib

Smoke Detection.pdf6.12 MB

A Deep Normalization and Convolutional Neural Network for Image Smoke Detection

720 Free Online Programming & Computer Science Courses You Can Start in January

Machine Learning for OpenCV.pdf27.15 MB

Machine Learning for OpenCV A practical introduction to the world of machine learning and image processing using OpenCV and Python

1812.10836.pdf8.11 MB

Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction

deeplearningbook.pdf16.72 MB

This repository contains examples of popular machine learning algorithms implemented in Python with mathematics behind them being explained. Each algorithm has interactive Jupyter Notebookdemo that allows you to play with training data, algorithms configurations and immediately see the results, charts and predictions right in your browser. In most cases the explanations are based on this great machine learning course by Andrew Ng.