This code helps you classify different alphabets using softmax regression (lower case).
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
- Dataset- Extended MNIST dataset (letters)
- Images of size 28 X 28
- Classify alphabets from a to z
- Logistic Regression, Shallow Network and Deep Network Support added.
Train Acuracy ~ 91 to 99%
Test Acuracy ~ 70 to 84%
Execution for writing through webcam
To run the code, type