digit-recognition-using-cnn

digit-recognition-using-cnn

Implementation of CNNs for handwritten digit recognition

Artificial Intelligence

Description

Digit recognition using convolutional neural network

Overview

A web application that recognizes handwritten digits. This application has been made using

TensorFlow Keras Flask This model was trained using the MNIST Handwritten digits dataset.

To update tensorflow and keras to their latest version use this

$ sudo pip install tensorflow -upgrade $ sudo pip install keras -upgrade Acquiring the repository

$ git clone https://github.com/prajjwal1/convolutional-neural-netwok.git $ cd imagerecognitionusingcnnweb_app Dependencies

$ sudo pip install -r dependencies.txt To run the server use this:

$ python app.py Note the address and open it on your browser. Press ctrl-c to terminate

Traning the model

To train the model for yourself:

$ python train.py It's recommended that you use Tensorflow with gpu support (CUDA).

Links

Github

Medium 15267900 369724496694704 7602675094723525974 n

Prajjwal B. created project digit-recognition-using-cnn

Medium ddfc4e0c 09c1 4475 836c 1be6b2d05db0

digit-recognition-using-cnn

Digit recognition using convolutional neural network

Overview

A web application that recognizes handwritten digits. This application has been made using

TensorFlow Keras Flask This model was trained using the MNIST Handwritten digits dataset.

To update tensorflow and keras to their latest version use this

$ sudo pip install tensorflow -upgrade $ sudo pip install keras -upgrade Acquiring the repository

$ git clone https://github.com/prajjwal1/convolutional-neural-netwok.git $ cd imagerecognitionusingcnnweb_app Dependencies

$ sudo pip install -r dependencies.txt To run the server use this:

$ python app.py Note the address and open it on your browser. Press ctrl-c to terminate

Traning the model

To train the model for yourself:

$ python train.py It's recommended that you use Tensorflow with gpu support (CUDA).

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