Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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.
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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
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Joda-Time library with Android specialization
Adaptive Test-time Learning and Autonomous Specialization
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Public repo for DeepLearning.AI MLEP Specialization
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
http://DataScienceSpecialization.github.io
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Java Collections till the last breadcrumb of memory and performance
A plugin for Flake8 that provides specializations for type hinting stub files
A different type of generic function for common lisp.