MNIST Flask demo

For education purposes only. The model is the simple 2-hidden layer neural network, created using vectorized numpy network implementation MLP MNIST.

Live demo

Live demo located here.

To install required libraries, use commands below:

pip install flask
pip install opencv-python
pip install numpy

Clone repository, go to the specified folder and run

python application.py

 * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)

Open your browser and access the address http://127.0.0.1:5000/ .

If you want to try another MLP architecture, edit train.py and run

python train.py

If you have any further questions or suggestions, please, do not hesitate to contact by email at a.sadenov@gmail.com.

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
data		data
models		models
static		static
templates		templates
README.md		README.md
activations.py		activations.py
application.py		application.py
batchnorm.py		batchnorm.py
fig_to_mnist.py		fig_to_mnist.py
mlp.py		mlp.py
mnist.py		mnist.py
mnist_classifier.py		mnist_classifier.py
train.py		train.py