Machine-Learning-Specialization-Coursera and Deep-Learning-Specialization-Coursera
These are complements that together cover the full Andrew Ng curriculum on Coursera—one focuses on the foundational Machine Learning Specialization while the other covers the subsequent Deep Learning Specialization, allowing learners to reference solutions across both courses sequentially.
About Machine-Learning-Specialization-Coursera
greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
This resource provides solutions and notes for the Machine Learning Specialization by Andrew Ng on Coursera. It helps students navigate the course material by offering completed assignments and explanations for various concepts like regression, classification, and neural networks. Anyone learning machine learning concepts, particularly those enrolled in this specific Coursera specialization, would find this useful for checking their work and understanding complex topics.
About Deep-Learning-Specialization-Coursera
abdur75648/Deep-Learning-Specialization-Coursera
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.
This collection of assignments provides practical examples for understanding and building advanced artificial intelligence models. It offers ready-to-use code for tasks like recognizing objects in images, identifying faces, and translating languages. Anyone learning or teaching deep learning concepts would find these practical solutions helpful.
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