ch
Feedback
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:

显示更多

📈 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 58 018 名订阅者,在 技术与应用 类别中位列第 2 290,并在 印度 地区排名第 5 977

📊 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 58 018 名订阅者。

根据 25 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 -204,过去 24 小时变化为 -8,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 9.58%。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 5 556 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 16
  • 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 26 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。

58 018
订阅者
-824 小时
-287
-20430
帖子存档
How to easily do Object Detection on Drone Imagery using Deep learning 👇👇👇👇👇 @DeepLearning_AI

@DeepLearning_AI 👆👆👆👆👆👆👆 These are the best free courses to help you learn Java 8 and Java 9 https://medium.freecodecamp.org/these-are-the-best-free-courses-to-help-you-learn-java-8-and-java-9-a7615c8644ab

@DeepLearning_AI 👆👆👆👆👆 “Data Augmentation and Images” by Connor Shorten https://link.medium.com/HDC1amLegW

Papers with code. Sorted by stars. Updated weekly. 👇👇👇👇👇 @DeepLearning_AI

This tutorial focuses on the implementation of computer vision algorithms and talks in depth about the nuances of models that are implemented. Read till the end. Includes tips and tricks to implement efficient CNNs. 👇👇👇👇👇 @DeepLearning_AI

Deep Learning with Python ( FRANÇOIS CHOLLET) This book is written for people with Python programming experience who want to get started with machine learning and deep learning. But this book can also be valuable to many different types of readers: * If you’re a data scientist familiar with machine learning, this book will provide you with a solid, practical introduction to deep learning, the fastest-growing and most significant subfield of machine learning. * If you’re a deep-learning expert looking to get started with the Keras framework, you’ll find this book to be the best Keras crash course available. * If you’re a graduate student studying deep learning in a formal setting, you’ll find this book to be a practical complement to your education, helping you build intuition around the behavior of deep neural networks and familiarizing you with key best practices 👇👇👇👇👇 @DeepLearning_AI

Machine Learning Summary (Algorithm) – Jonathan Hui – Medium https://medium.com/@jonathan_hui/machine-learning-summary-algorithm-d75c64963800 👇👇👇👇👇 @DeepLearning_AI .

“Understanding SVMs’: For Image Classification” - “Understanding SVMs’: For Image Classification” by DataTurks: Data Annotations Made

10 Data Structure, Algorithms, and Programming Courses to Crack Any Coding Interview 👇👇👇👇👇 @DeepLearning_AI

free udemy course: Easy to Advanced Data Structures What you'll learn : * Mature understanding of data structures * Algorithms associated with data structures * Dynamic arrays * Singly and doubly linked list * Queues & Stacks * Binary Trees and Binary search trees * Heaps & Priority queues * Union find/Disjoint set * Hash table/Associative array * Fenwick tree/Binary indexed tree 👇👇👇👇👇 @DeepLearning_AI