shahariarrabby / deeplearning.ai Goto Github PK

deeplearning.ai , By Andrew Ng, All video link

deep-learning deep-neural-networks deeplearning deep-learning-tutorial deep-learning-algorithms artificial-intelligence artificial-neural-networks convolutional-neural-networks coursera andrew-ng

deeplearning.ai's Introduction

Sorry

Coursera requested that I need to remove the Coursera course material from my github site immediately as I'm in violation of our Terms of Use.

So I removed all the files.

But if you are over the age of 13 you can create an account on Coursera and audit the courses to access the Deep Learning Material.

You can visit deeplearning.ai this link and create a account to get all the material for free.

Thank you

deeplearning.ai

Deep Learning Specialization

Master Deep Learning, and Break into AI

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 (DRIVE LINK REMOVED) or download them from online (as they are so popular you can easily get them)

Video Link

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

deeplearning.ai's People

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deeplearning.ai's Issues

Update

Hi @ShahariarRabby there's a "Residual Networks - v2.ipynb" on Coursera, can you please update this repository accordingly ? Thanks !

Getting Error

in the following part:

in sample newline_character = char_to_ix['\n'] KeyError: '\n'

Art Generation with Neural Style Transfer - v2 is added

week4 /Neural Style Transfer/
7 days ago

Getting Error

In the following part:

in indexes = sample(parameters, char_to_ix, 0)

Update

Hi @ShahariarRabby there's a "Face Recognition for the Happy House - v3.ipynb" on Coursera, can you please update this repository accordingly ? Thanks ! (It's for the same reason than for #3 )

some solutions in COURSE 2 notebooks

By accident, I find some solutions are there in COURSE 2 Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/week7/improv_utils.py

Missing links to referenced publications!

No point of deleting slides and keeping old commits, should delete repo

Hello,
At coursera, even though you have deleted the files in this repo, they are still available in older commits. Anyone can go to previous and access these pdfs(Example is here)
To make slides completely inaccessible(if you really want to follow coursera request) you should delete the whole repository or make it private.

COURSE-2-Week-2 Utils Function Error

From:

parameters['W' + str(l)] = np.random.randn(layer_dims[l], layer_dims[l-1])*  np.sqrt(2 / layer_dims[l-1])`

To:

parameters['W' + str(l)] = np.random.randn(layer_dims[l], layer_dims[l-1])*  np.sqrt(2. / layer_dims[l-1])

Notice: np.sqrt(2 => np.sqrt(2.

hi how to download all the files from coursera?

hi how to download all the files from coursera?when I doing homework,i find network has problems