This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
- deep-learning
- neural-network
- coursera
- andrew-ng
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TranslatedThis is a step-by-step guide to getting started with AI/LLM large models, including tutorials and demo code, taking you from APIs to local large model deployment and fine-tuning. The code files come with Kaggle or Colab online versions, so you can learn even without a graphics card. The project also has a small code playground 🎡 where you can try out some interesting AI scripts. It also includes complete Chinese mirror assignments for Hung-Yi Lee's (HUNG-YI LEE) 2024 Introduction to Generative AI course.
A tour in the wonderland of math with python.
- fractals
- penrose-tilings
- polytopes
- hopf-fibration
Reference blueprint for building shopping and merchant agents with Claude. Examples in retail, commerce, telecom, and entertainment included.
A workshop on Linux containers: Rebuild Docker from Scratch
⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.
- docker
- kubernetes
- minikube
- python