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Add links to Deepnote #49

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30 changes: 30 additions & 0 deletions README.md
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Expand Up @@ -21,17 +21,35 @@ Currently, this repo has 3 major parts you may be interested in and I will give
- Course 1: Neural Networks and Deep Learning

- [Week 2 - PA 1 - Logistic Regression with a Neural Network mindset](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Logistic%20Regression%20with%20a%20Neural%20Network%20mindset.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FNeural%2520Networks%2520and%2520Deep%2520Learning%2FLogistic%2520Regression%2520with%2520a%2520Neural%2520Network%2520mindset.ipynb)

- [Week 3 - PA 2 - Planar data classification with one hidden layer](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Planar%20data%20classification%20with%20one%20hidden%20layer.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FNeural%2520Networks%2520and%2520Deep%2520Learning%2FPlanar%2520data%2520classification%2520with%2520one%2520hidden%2520layer.ipynb)

- [Week 4 - PA 3 - Building your Deep Neural Network: Step by Step¶](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Building%20your%20Deep%20Neural%20Network%20-%20Step%20by%20Step.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FNeural%2520Networks%2520and%2520Deep%2520Learning%2FBuilding%2520your%2520Deep%2520Neural%2520Network%2520-%2520Step%2520by%2520Step.ipynb)

- [Week 4 - PA 4 - Deep Neural Network for Image Classification: Application](https://github.com/Kulbear/deep-learning-coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Deep%20Neural%20Network%20-%20Application.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FNeural%2520Networks%2520and%2520Deep%2520Learning%2FDeep%2520Neural%2520Network%2520-%2520Application.ipynb)


- Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

- [Week 1 - PA 1 - Initialization](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Initialization.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FImproving%2520Deep%2520Neural%2520Networks%2520Hyperparameter%2520tuning%252C%2520Regularization%2520and%2520Optimization%2FInitialization.ipynb)

- [Week 1 - PA 2 - Regularization](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Regularization.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FImproving%2520Deep%2520Neural%2520Networks%2520Hyperparameter%2520tuning%252C%2520Regularization%2520and%2520Optimization%2FRegularization.ipynb)

- [Week 1 - PA 3 - Gradient Checking](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Gradient%20Checking.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FImproving%2520Deep%2520Neural%2520Networks%2520Hyperparameter%2520tuning%252C%2520Regularization%2520and%2520Optimization%2FGradient%2520Checking.ipynb)

- [Week 2 - PA 4 - Optimization Methods](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Optimization%20methods.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FImproving%2520Deep%2520Neural%2520Networks%2520Hyperparameter%2520tuning%252C%2520Regularization%2520and%2520Optimization%2FOptimization%2520methods.ipynb)

- [Week 3 - PA 5 - TensorFlow Tutorial](https://github.com/Kulbear/deep-learning-coursera/blob/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Tensorflow%20Tutorial.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FImproving%2520Deep%2520Neural%2520Networks%2520Hyperparameter%2520tuning%252C%2520Regularization%2520and%2520Optimization%2FTensorflow%2520Tutorial.ipynb)


- Course 3: Structuring Machine Learning Projects

Expand All @@ -40,14 +58,26 @@ Currently, this repo has 3 major parts you may be interested in and I will give
- Course 4: Convolutional Neural Networks

- [Week 1 - PA 1 - Convolutional Model: step by step](https://github.com/Kulbear/deep-learning-coursera/blob/master/Convolutional%20Neural%20Networks/Convolution%20model%20-%20Step%20by%20Step%20-%20v1.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FConvolutional%2520Neural%2520Networks%2FConvolution%2520model%2520-%2520Step%2520by%2520Step%2520-%2520v1.ipynb)

- [Week 1 - PA 2 - Convolutional Model: application](https://github.com/Kulbear/deep-learning-coursera/blob/master/Convolutional%20Neural%20Networks/Convolution%20model%20-%20Application%20-%20v1.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FConvolutional%2520Neural%2520Networks%2FConvolution%2520model%2520-%2520Application%2520-%2520v1.ipynb)

- [Week 2 - PA 1 - Keras - Tutorial - Happy House](https://github.com/Kulbear/deep-learning-coursera/blob/master/Convolutional%20Neural%20Networks/Keras%20-%20Tutorial%20-%20Happy%20House%20v1.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FConvolutional%2520Neural%2520Networks%2FKeras%2520-%2520Tutorial%2520-%2520Happy%2520House%2520v1.ipynb)

- [Week 2 - PA 2 - Residual Networks](https://github.com/Kulbear/deep-learning-coursera/blob/master/Convolutional%20Neural%20Networks/Residual%20Networks%20-%20v1.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FConvolutional%2520Neural%2520Networks%2FResidual%2520Networks%2520-%2520v1.ipynb)


- Course 5: Sequence Models

- [Week 1 - PA 1 - Building a Recurrent Neural Network - Step by Step](https://github.com/Kulbear/deep-learning-coursera/blob/master/Sequence%20Models/Building%20a%20Recurrent%20Neural%20Network%20-%20Step%20by%20Step%20-%20v2.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FSequence%2520Models%2FBuilding%2520a%2520Recurrent%2520Neural%2520Network%2520-%2520Step%2520by%2520Step%2520-%2520v2.ipynb)

- [Week 1 - PA 2 - Character level language model - Dinosaurus land](https://github.com/Kulbear/deep-learning-coursera/blob/master/Sequence%20Models/Dinosaurus%20Island%20--%20Character%20level%20language%20model%20final%20-%20v3.ipynb)
[<img align="right" height="24" src="https://beta.deepnote.org/buttons/launch-in-deepnote.svg">](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2FKulbear%2Fdeep-learning-coursera%2Fblob%2Fmaster%2FSequence%2520Models%2FDinosaurus%2520Island%2520--%2520Character%2520level%2520language%2520model%2520final%2520-%2520v3.ipynb)


## Quiz Solutions

Expand Down