🔅 Deep Learning: Image Recognition

📝 Learn how to design, build, and deploy a deep neural network to serve as an image recognition system.

📋 Topics: #ImageRecognition, @DeepLearning, #ComputerVision #python

https://t.me/Python53

🔅 Machine Learning with Python: k-Means Clustering

📝 Learn the basics of k-means clustering, one of the most popular unsupervised machine learning approaches.

📋 Topics: #kmeans #clustering, #MachineLearning, #Python

https://t.me/Python53 🌷

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅ https://t.me/addlist/8_rRW2scgfRhOTc0

✅ https://t.me/Codeprogrammer

🗂 Building our own mini-Skynet — a collection of 10 powerful AI repositories from big tech companies

1. Generative AI for Beginners and AI Agents for Beginners
Microsoft provides a detailed explanation of generative AI and agent architecture: from theory to practice.

2. LLMs from Scratch
Step-by-step assembly of your own GPT to understand how LLMs are structured "under the hood".

3. OpenAI Cookbook
An official set of examples for working with APIs, RAG systems, and integrating AI into production from OpenAI.

4. Segment Anything and Stable Diffusion
Classic tools for computer vision and image generation from Meta and the CompVis research team.

5. Python 100 Days and Python Data Science Handbook
A powerful resource for Python and data analysis.

6. LLM App Templates and ML for Beginners
Ready-made app templates with LLMs and a structured course on classic machine learning.

If you want to delve deeply into AI or start building your own projects — this is an excellent starting kit.

tags: #github #LLM #AI #ML

➡️ https://t.me/CodeProgrammer