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