Digit-Recognizer
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A Machine Learning classifier for recognizing the digits for humans 🎰
Digit Recognition 🎰
This code helps you classify different digits using softmax regression.
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.
![](https://github.com/akshaybahadur21/Digit-Recognizer/blob/master/logistic.png)
For more information, see
Python Implementation 👨🔬
- Dataset- MNIST dataset
- Images of size 28 X 28
- Classify digits from 0 to 9
- Logistic Regression, Shallow Network and Deep Network Support added.
Results 📊
![](https://github.com/akshaybahadur21/Digit-Recognizer/blob/master/final.gif)
Execution 🐉
To run the code, type python Dig-Rec.py
python Dig-Rec.py
Results 📊
![](https://github.com/akshaybahadur21/Digit-Recognizer/blob/master/digit.gif)
Execution 🐉
To run the code, type python Digit-Recognizer.py
python Digit-Recognizer.py