Complete Guide to Build Your First CNN Machine Learning Model in Python

In this blog post, we will walk through a step-by-step guide on how to build your first Convolutional Neural Network (CNN) machine learning model in Python. CNNs are widely used for image recognition and classification tasks due to their ability to capture spatial hierarchies in data.

Step 1: Import Necessary Libraries

First, let's import the required libraries for building our CNN model:

import numpy as np
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Conv2D, MaxPooling2D, Flatten, …

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