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