Minor Project

Image Classification using Neural Networks

• AKUL MEHRA       -  07615002714
• ASHU GOEL          -  06815002714
• MANOJ PANDEY   -  03215002714
• HARSH NANDAN  -  00415007215

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What is Neural Network ?

Artificial neural networks (ANNs) are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn (progressively improve performance) to do tasks by considering examples.

For example, in image recognition, they might learn to identify images that contain cats by analyzing example images that have been manually labeled as "cat" or "no cat" and using the analytic results to identify cats in other images.

What is Neural Network ?

MNIST DATASET

The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.

It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting.

Image Dataset

MNIST Dataset is a collection of handwritten digit images 

Artificial Neural Network

Multiple inputs are given, which are processed using a function, and then sent to activation function which normalizes the number and we get output.

Handwritten Image to ANN gives digital number

Long Term Objectives

• Digitalize Handwritten Data using Neural Networks.
• To be able to learn Deep Learning using Neural Networks.
• To be able to process more complex images like face recognition, sentiment analysis using neural networks.

Thank You