Skip to content

Latest commit

 

History

History
7 lines (4 loc) · 415 Bytes

README.md

File metadata and controls

7 lines (4 loc) · 415 Bytes

Handwritten Digit Recognition using DNN / CNN (trained by Tensorflow / Keras) :

This is a Machine Learning project based on Convolutional Neural Network (CNN) & Dense Neural Network(DNN). I trained the model using MNIST data-set and used TensorFlow as a training back-end. Used mostly Keras ( wrapper of Tensorflow) to get the HDF5 output. Then convert the .h5 file into .mlmodel which can be used in xcode.