Deep Learning Basic Projects

A collection of python based projects specific to deep learning domain using TensorFlow as the framework.

The applications are live here

Applications

1. Digit Recognition - Dataset
2. Rock Paper Scissors - Dataset
3. Pneumonia Detection - Dataset

Technologies Used

           

Installations Required

For running the source code on your local machine, the following dependencies are required.

• Python
• Numpy
• TensorFlow

Launch

For local installation, follow these steps:

1. Download source code from this repository or click here.
2. Extract files to desired directory.
3. Download and install Python3 if not done already.
4. Create a new python virtual environment.

python3 -m venv tutorial-env

5. Once you’ve created a virtual environment, you may activate it.

On Windows, run:

tutorial-env\Scripts\activate.bat

On Unix or MacOS, run:

source tutorial-env/bin/activate

Refer to python documentation for more information on virtual environments.

6. Install the required dependecies.

pip install numpy pandas tensorflow

7. Launch the Jupyter Notebooks or run the python files now.