shahariarrabby / deeplearning.ai Goto Github PK

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

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

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.

in the following part:

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

In the following part:

in indexes = sample(parameters, char_to_ix, 0)

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.

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

week4 /Neural Style Transfer/
7 days ago

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 )