WebApp using Flask with Google Colab of MNIST model Deploy

A study in K-Means clustering and MLP methods for digit recognition and classification.

Java library with Javadoc for neural networks and MNIST image classification.

My resullt of following the tutorial at https://www.tensorflow.org/tutorials/mnist/beginners/.

Chinese handwriting analysis - classifying handwritten Chinese numerals. Image classification and Random Noise - adding random noise to reduce overfitting.

Project 2: Udacity Deep Learning Image classification

Handwritten Digit Recognition

Trying out different ways to classify handwritten digits

Leveraging the mapreduce paradigm we propose a solution to parallelize the feedforward operation of neural networks in order to speed it up for sufficiently large NN architectures and for sufficiently large datasets. Tested Using the MNIST dataset results can be found in the results.html and results.ipynb files.

CS7GV1- Computer Vision