In this tutorial, we will be discussing Convolutional Neural Networks (CNN), which are a type of deep neural network commonly used in computer vision tasks such as image recognition, object detection, and image classification.
CNNs are modeled after the organization of the visual cortex in the brain, where neurons are arranged in layers and respond to overlapping regions in the visual field. This arrangement allows CNNs to learn spatial hierarchies of features in images, making them well-suited for tasks that require understanding of visual data.
To create your own CNN using HTML tags, we will dive into the various components that make up a CNN. These components include convolutional layers, pooling layers, and fully connected layers.
Let’s start by creating the structure of our CNN using HTML tags:
<!DOCTYPE html>
<html>
<head>
<title>CNN Tutorial</title>
</head>
<body>
<h1>Convolutional Neural Network (CNN) Tutorial</h1>
<h2>Model Architecture</h2>
<p>Our CNN will consist of several layers:</p>
<h3>Input Layer</h3>
<p><code><input></code> layer with dimensions of our input data (e.g., an image).</p>
<h3>Convolutional Layer</h3>
<p><code><convolutional></code> layer with filters to extract features from the input data.</p>
<h3>Activation Layer</h3>
<p><code><activation></code> layer to introduce non-linearity into the network.</p>
<h3>Pooling Layer</h3>
<p><code><pooling></code> layer to reduce the size of the feature maps.</p>
<h3>Fully Connected Layer</h3>
<p><code><fully-connected></code> layer to classify the input data.</p>
</body>
</html>In a CNN, the convolutional layers apply filters to the input data to extract local patterns. The activation layers introduce non-linearity into the network to allow for learning complex functions. The pooling layers downsample the feature maps to reduce computation and prevent overfitting. Finally, the fully connected layers combine the extracted features to make a prediction.
Next, let’s add some CSS to style our CNN model:
<!DOCTYPE html>
<html>
<head>
<title>CNN Tutorial</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 0;
}
h1, h2, h3 {
color: #333;
}
p {
color: #666;
}
</style>
</head>
<body>
<h1>Convolutional Neural Network (CNN) Tutorial</h1>
<!-- Model Architecture -->
</body>
</html>This CSS will make our HTML elements more visually appealing and easier to read.
In the next part of this tutorial, we will implement the Convolutional, Activation, Pooling, and Fully Connected layers in our CNN using HTML tags. Stay tuned for more!
