ppant/deeplearning.ai-notes
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
These notes summarize the Deep Learning Specialization taught by Andrew Ng, covering fundamental concepts from neural networks to advanced topics like CNNs and RNNs. They provide a quick refresher for those who have completed or are taking the course, offering diagrams and plain-language explanations. Anyone studying deep learning, especially those following Andrew Ng's specialization, would find this useful for review.
285 stars. No commits in the last 6 months.
Use this if you're looking for a concise, personal summary of the Deep Learning Specialization to quickly refresh your memory on key concepts.
Not ideal if you're seeking a replacement for the full course content, including quizzes, assignments, or a deep dive into exact mathematical notations.
Stars
285
Forks
157
Language
Jupyter Notebook
License
—
Category
Last pushed
May 27, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ppant/deeplearning.ai-notes"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and...
trekhleb/machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and...
amanchadha/coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing...
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization...
rust0258/Deeplearning.ai-Natural-Language-Processing-Specialization
This repository contains my full work and notes on Coursera's NLP Specialization (Natural...