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Deep Learning Specialization by Andrew Ng on Coursera.

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Make the code more intuitive.

In version 8 (Building your Deep Neural Network - Step by Step v8) for the assignment, following changes need to be done given the required output. I hope it is...

Added Missing files that was required to notebook. List of files added are 1. deep-learning-coursera/Sequence Models/model/model_shakespeare_kiank.h5 2. deep-learning-coursera/Sequence Models/model/model_shakespeare_kiank_350_epoch.h5 3. deep-learning-coursera/Sequence Models/shakespeare.txt 4. deep-learning-coursera/Sequence Models/dinos.txt 5. deep-learning-coursera/Sequence Models/utils.py

Existing model is different than loaded model in the coursework. The array needs the addition: source = np.array(list(map(lambda x: to_categorical(x, num_classes=len(human_vocab)), source)), ndmin=3) to fix dimensional issues

Added links to Deepnote so that people can play around with the notebooks online without having to install things:)

the original code wrongly use sigmoid twice and is weird

add bias after Z = np.sum()