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All Projects → limberc → Deeplearning.ai

limberc / Deeplearning.ai

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htmldeep-learningneural-networknatural-language-processingconvolutional-neural-networkscourseraoptimization-algorithms

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View All Similar Projects ➔

deeplearning.ai

Deep Learning Specialization

Master Deep Learning, and Break into AI

P.S: This repo DO NOT HAVE THE ANSWER OF THE HOMEWORK which respect the honour code of the Coursera.

There is all the ipynb notebook and slides that associated with deeplearning.ai

  • There is no solution in the notebook
  • All datafile added
  • You Can download them and practice offline
  • All slide added

Pre Trained Models

Github only allows to share file less than 50mb. There is some pre-trained model like resnet etc. Suggest you to download them from My Google Drive or download them from online (as they are so popular you can easily get them)

Video Link

Original Coursera Link

Deep Learning Specialization

  1. Neural Networks and Deep Learning
  2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  3. Structuring Machine Learning Projects
  4. Convolutional Neural Networks
  5. Sequence Models

Conclusion

Everyone welcome to create pull request if new resource update or if i miss anything :)

As coursera suggest to not to share solution online. So, request you not to share solution for this notebook.

Thank You

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