A Machine Learning classifier for recognizing the digits for humans.
This code helps you classify different digits using softmax regression.
You can install Conda for python which resolves all the dependencies for machine learning.
Softmax Regression (synonyms: Multinomial Logistic, Maximum Entropy Classifier, or just Multi-class Logistic Regression) is a generalization of logistic regression that we can use for multi-class classification (under the assumption that the classes are mutually exclusive). In contrast, we use the (standard) Logistic Regression model in binary classification tasks.
For more information, see
1) Dataset- MNIST dataset 2) Images of size 28 X 28 3) Classify digits from 0 to 9 4) Logistic Regression, Shallow Network and Deep Network Support added.
To run the code, type
python Dig-Rec.py
python Dig-Rec.py
To run the code, type
python Digit-Recognizer.py
python Digit-Recognizer.py