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Created 2 years ago
HAND WRITTEN DIGIT RECOGNITION (PYTHON NEURAL NETWORKS)
Objective
The goal here is to construct a model that is able to take .png image files, read and identify them accurately.
Strategy
1. We will first install and load the necessary libraries
2. Then Pre-process the datasets
3. Construct our Model using a Sequential Neural Network
4. Evaluate the Model
5. Finally Test the Model with actual images
Tools: Python
1. Install and load the required libraries
#pip install tensorflow numpy opencv-python matplotlib
import os
import cv2
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tfMatplotlib is building the font cache; this may take a moment.