Digit-Recognition

This is an Image Recognition tutorial where we use Deep Learning and MNIST Digits dataset.

You can find the dataset on Kaggle .

Step 1: Extract the data

Here you have to perform 3 basic steps:

1. Load the required libraries
2. Load the dataset
3. Split the data into test and training samples

Step 2: Visualize the data

Simply view the images and ensure to use the samples in their best format

Step 3: Perform preprocessing steps

This step is most important and includes 3 task:

1. Flatten the images and get them to a common dimension
2. Normalize it
3. convert the encoded output array to a number

Step 4: Define the model

Here we define a simple neural network with a dense hidden and output layer

Step 5: Time for prediction

Test the model on test data