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Rabbia-Hassan / Generative-AI-for-Everyone

Star 8

Taught by AI genius Andrew NG, this course entails the cutting edge topics such as, How generative AI works including what it can and can't do, Common uses cases such as Reading, Writing, and Chatting, Life Cycle of GenAI projects, Advanced Technology options such as RAG, Fine tunning, and Pre-Training, Implications of GenAI on business & Society.

python language-model andrew-ng andrew-ng-course fine-tuning deeplearning-ai rag responsible-ai pretraining large-language-models llm llms generative-ai chatgpt generative-ai-tools
  • Updated Apr 28, 2024
  • Jupyter Notebook

amanchadha / coursera-deep-learning-specialization

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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 Network…

deep-learning neural-network coursera recurrent-neural-networks neural-networks hyperparameter-optimization regularization convolutional-neural-networks neural-machine-translation coursera-machine-learning convolutional-neural-network hyperparameter-tuning andrew-ng coursera-assignment cnns rnns andrew-ng-course recurrent-neural-network neural-style-transfer coursera-specialization
  • Updated Apr 13, 2024
  • Jupyter Notebook
Machine-Learning-AndrewNg-DeepLearning.AI

azminewasi / Machine-Learning-AndrewNg-DeepLearning.AI

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

data-science data machine-learning deep-learning neural-network machine-learning-algorithms regression classification machine-learning-coursera rnn-tensorflow nlp-machine-learning andrew-ng andrew-ng-course andrew-ng-machine-learning andrew-ng-ml-course
  • Updated Dec 5, 2023
  • Jupyter Notebook

TheKidPadra / Machine-Learning-Stanford-University-Coursera

Star 1

This Repository contains Solutions to Lab Assignments/slides and my personal Notes of the Machine Learning (2022) from Stanford University on Coursera taught by Andrew Ng.

neural-network linear-regression artificial-neural-networks logistic-regression recommender-system regularization gradient-descent support-vector-machines coursera-machine-learning principal-component-analysis numpy-exercises anomaly-detection supervised-machine-learning unsupervised-machine-learning andrew-ng-course multiple-linear-regression andrew-ng-machine-learning andrew-ng-ml-course
  • Updated Sep 25, 2023
  • MATLAB

itahirmasood / coursera-deep-learning-specialization-by-deeplearning-ai

Star 4

Graded assignments of all the courses that are being offered in Coursera Deep Learning Specialization 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 Network (v) Squence Model

deep-neural-networks deep-learning neural-network model coursera recurrent-neural-networks convolutional-neural-networks sequence coursera-machine-learning andrew-ng coursera-assignment andrew-ng-course hyper-parameter-tuning deep-learning-specialization coursera-specialization improving-deep-neural-networks
  • Updated Aug 13, 2023
  • Jupyter Notebook

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