/handwritng-digit-CNN

In this project we will discover how to develop a deep learning model to achieve near state-of-the-art performance on the MNIST handwritten digit recognition task

Primary LanguagePython

Handwritten Digit Recognition

In this project we will discover how to develop a deep learning model to achieve near state-of-the-art performance on the MNIST handwritten digit recognition task in Python using the Keras deep learning library. The MNIST problem is a dataset developed by Yann LeCun, Corinna Cortes and Christopher Burges for evaluating machine learning models on the handwritten digit classification problem

tutorial source: Deep Learning With Python, Develop Deep Learning Models On Theano And TensorFlow Using Keras, Jason Brownlee