Machine-Learning-AndrewNg-DeepLearning.AI and Deep-Learning-Coursera

These tools are competitors, both providing solutions for the Deep Learning Specialization by Andrew Ng on Coursera, likely offering alternative implementations or notes for the same course material.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 352
Forks: 186
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 143
Forks: 167
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Machine-Learning-AndrewNg-DeepLearning.AI

azminewasi/Machine-Learning-AndrewNg-DeepLearning.AI

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera

This specialization helps aspiring AI practitioners master fundamental machine learning concepts and build practical skills. It takes learners from basic data and problems to functional models for prediction, classification, and recommendation. It's designed for anyone looking to start a career in machine learning or apply AI techniques to real-world problems.

AI-education data-science-training predictive-modeling recommendation-systems career-transition

About Deep-Learning-Coursera

gemaatienza/Deep-Learning-Coursera

Deep Learning Specialization by Andrew Ng on Coursera.

This collection of programming assignments and case studies helps aspiring AI engineers or data scientists master deep learning. It provides practical exercises that take you from foundational neural networks to advanced topics like convolutional and recurrent networks. You'll gain hands-on experience using Python and TensorFlow to build and apply AI models across various real-world scenarios.

AI development machine learning engineering neural network training computer vision natural language processing

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