A brief guide to CNN: Convolutional Neural Networks

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A brief guide to CNN Convolutional Neural
Networks

• I will explain the concept of convolution neural
  networks (CNNs) by implementing many instances
  with pictures and will make the case of using
  CNNs over regular multilayer neural networks for
  processing images.

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What is Image analysis?
Image analysis (also known as computer vision
or image recognition) is the ability of
computers to recognize attributes within an
Image. Do you use Google Photos or Apples Photos
app on your smartphone?  
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What are Artificial Neural Networks?
If we talk about Artificial Neural Networks then
its an attempt to replicate the network of
neurons that make up a human brain so that the
machine or the computer will be able to determine
things and make decisions in a human-like manner.
 
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Different Layers of CNN
The work process of CNN depends and the size of
the feature map depends on the dimensions of the
filters. And simultaneously, the number of
feature maps will depend on the number of filters
being used.
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CONVOLUTIONAL LAYER
Input layer The input layers of a neural network
is composed of artificial input neurons, and
brings the initial data the system for further
processing by subsequent layers of artificial
neurons. The input layers of is the very
beginning of the workflow for the artificial
network.
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Convolutional Neural Networks

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