Image Classification is the technique to extract the features from the images to categorize them in the defined classes. It is a common-sense problem for the human to identify the images but, for the machine, it’s definitely not. At first, we have to train the machine with the images, and later, when we introduce the model with a new image then based on the training it will give us significant results.

In this article, we will understand how convolutional neural networks are helpful and how they can help us to improve our model’s performance. We will also go through the implementation of CNNs in PyTorch.

Table of Contents

  1. PyTorch Overview
  2. What is CNN?
  3. Implementation of CNNs in PyTorch.
  4. Conclusion

#cnn #machine-learning #image-classification #data-science #deep-learning

Introduction to CNN & Image Classification using CNN in PyTorch
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