https://github.com/abdulsamie10/animalclassification-cnn

Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.
https://github.com/abdulsamie10/animalclassification-cnn

animal-classification cnn colab-notebook computer-vision convolutional-neural-network convolutional-neural-networks deep-learning jupyter-notebook keras machine-learning numpy python python3 pytorch

Last synced: about 8 hours ago
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Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.

• Host: GitHub
• URL: https://github.com/abdulsamie10/animalclassification-cnn
• Owner: abdulsamie10
• Created: 2023-01-08T19:39:32.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-08T20:01:45.000Z (almost 2 years ago)
• Last Synced: 2024-04-28T04:56:18.062Z (6 months ago)
• Topics: animal-classification, cnn, colab-notebook, computer-vision, convolutional-neural-network, convolutional-neural-networks, deep-learning, jupyter-notebook, keras, machine-learning, numpy, python, python3, pytorch
• Language: Python
• Homepage:
• Size: 2.93 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CNN

Massive progress has been made in the field of artificial intelligence, closing the gap between human and computer capacities. Proponents and experts alike work tirelessly on many facets of the topic to achieve remarkable results. Computer vision is just one example of such a field.

The goal of this area of study is to teach computers to see and understand the world as humans do, so that they can apply this understanding to fields as diverse as image and video recognition, image analysis and classification, media recreation, recommendation systems, natural language processing, and so on. Over the course of its development and refinement, a Convolutional Neural Network has been at the centre of most of the progress made in Computer Vision using Deep Learning.

# AnimalClassification-CNN

Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.

This codes uses CNN to classify between cats, dogs and pandas.