This is an implementation in Python of the handwritten digit recognizer given as an exercise in the machine learning course dictated by Andrew Ng in Coursera.

• A 3-layer regularized Neural Network is used for classification
• Logistic sigmoid function is used as activation function
• Weights are learned using fmin_cg for minimizing the cost function

python run.py