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Alphabet Recognition

This code helps you classify different alphabets using softmax regression (lower case).

Code Requirements 🦄

You can install Conda for python which resolves all the dependencies for machine learning.

Description ⚙️

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

Python Implementation 👨‍🔬

  1. Dataset- Extended MNIST dataset (letters)
  2. Images of size 28 X 28
  3. Classify alphabets from a to z
  4. Logistic Regression, Shallow Network and Deep Network Support added.

Results 📊

Execution 🐉

To run the code, type python Alpha-Rec.py

python Alpha-Rec.py

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