pabaq/Coursera-Deep-Learning-Specialization
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
This project provides practical programming assignments and lecture notes from the Coursera Deep Learning Specialization. It helps aspiring machine learning engineers or data scientists learn foundational concepts, build various neural network architectures, and apply deep learning to real-world problems. You'll work through coding exercises to solidify understanding, taking you from raw data to trained models capable of tasks like image classification, language processing, and more.
102 stars. No commits in the last 6 months.
Use this if you are enrolled in or planning to take Andrew Ng's Deep Learning Specialization on Coursera and want to access or review the programming assignments and lecture notes.
Not ideal if you are looking for a pre-built tool or library to directly solve a deep learning problem without going through a structured learning curriculum.
Stars
102
Forks
31
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 20, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/pabaq/Coursera-Deep-Learning-Specialization"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NeuromatchAcademy/course-content-dl
NMA deep learning course
huggingface/computer-vision-course
This repo is the homebase of a community driven course on Computer Vision with Neural Networks....
rasbt/MachineLearning-QandAI-book
Machine Learning Q and AI book
SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
gyunggyung/PyTorch
PyTorch tutorials A to Z