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Artificial Intelligence && Deep Learning

Artificial Intelligence && Deep Learning

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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 kanali Artificial Intelligence && Deep Learning analitikasi

Artificial Intelligence && Deep Learning (@deeplearning_ai) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 57 980 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 278-o'rinni va Hindiston mintaqasida 5 954-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 57 980 obunachiga ega bo‘ldi.

10 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -85 ga, so‘nggi 24 soatda esa -17 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 11.77% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 0 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent github, learning, estimation, dataset, engineer kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
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:

Yuqori yangilanish chastotasi (oxirgi ma’lumot 11 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

57 980
Obunachilar
-1724 soatlar
-67 kunlar
-8530 kunlar
Postlar arxiv
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks https://gandissect.csail.mit.edu/

Highlight Action Area in Soccer using Tensorflow Doing cool things with data! https://towardsdatascience.com/highlight-action-area-in-soccer-using-tensorflow-1c59d644b404

“An Introduction to Big Data: NoSQL” by James Le https://link.medium.com/3dMPVXORVU

Machine Learning with Python Cookbook (en).pdf3.37 MB

Machine Learning with Python Cookbook
Machine Learning with Python Cookbook

Almost 20 image classification CNN networks implementation using Pytorch (github.com (https://github.com/weiaicunzai/pytorch-cifar100))

How to Train a GAN? Tips and tricks to make GANs work How to train a GAN, NIPS 2016 | Soumith Chintala, Facebook AI Research

It is free online course (limited time) Dart Masterclass Programming Course: iOS/Android Bible https://www.udemy.com/dart-programming/?couponCode=FREECOUPON