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Programming assignments of Deep Learning Specialization

Home Page: https://www.coursera.org/specializations/deep-learning

Python 12.19% Jupyter Notebook 87.81%

deep-learning neural-network coursera

coursera-deeplearning's Introduction

Programming assignments of the Deep Learning Specialization on Coursera.

Directory Structure

01-nn Assignments for course 1/5: Neural Networks and Deep Learning
02-dnn Assignments for course 2/5: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
*.ipynb files are Jupyter Notebooks of the assignments
*.py files are standalone code (without documentation) you can run & debug. Some of them are helper files.

Getting Started

Setup a virtualenv

Install Pipenv
Install dependencies with pipenv install or specify your python location pipenv install --python $(which python3)
Now you can activate the virtualenv with pipenv shell, or run python script directly by pipenv run python

Running Notebooks & python scripts

pipenv run jupyter notebook then open a notebook
or open a specified notebook: pipenv run jupyter notebook 01-nn/week02/week02.ipynb
or run python scripts directly: cd 01-nn/week02 && pipenv run python logistic_regression.py

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