|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Deeplearning.ai Summary||4,881||8 months ago||13||mit||Python|
|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.|
|Start Machine Learning||3,875||21 days ago||mit|
|A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2023 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!|
|Coursera Deep Learning Specialization||2,034||5 months ago||15||Jupyter Notebook|
|Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models|
|Machine Learning Specialization Coursera||1,859||a month ago||14||mit||Jupyter Notebook|
|Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG|
|Andrew Ng Notes||1,367||a year ago||2||Jupyter Notebook|
|This is Andrew NG Coursera Handwritten Notes.|
|Machine Learning Curriculum||1,063||2 months ago||mit|
|:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list|
|Coursera Ml Py||1,032||3 years ago||mit||Python|
|Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera|
|Andrew Ng Deep Learning Notes||862||2 years ago||2||Jupyter Notebook|
|吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course|
|Deeplearning.ai Natural Language Processing Specialization||523||2 years ago||gpl-3.0||Jupyter Notebook|
|This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai|
|Deep Learning Specialization Coursera||266||4 months ago||apache-2.0||Jupyter Notebook|
|This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.|
If you've finished the amazing introductory Machine Learning on Coursera by Prof. Andrew Ng, you probably got familiar with Octave/Matlab programming. With this repo, you can re-implement them in Python, step-by-step, visually checking your work along the way, just as the course assignments.
This project was coded in Python 3.6
The fastest and easiest way to install all these dependencies at once is to use Anaconda.
There are a couple of things to keep in mind before starting.
Now, it is
>> size(theta) >> (2, 1)
>>> theta.shape >>> (2, )
You can check out my implementation of the assignments here. I tried to vectorize all the solutions.