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Classification of CIFAR-10 dataset using a Deep Convolutional Neural Network.

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CIFAR-10

Classification of CIFAR-10 dataset using a Deep Convolutional Neural Network.

Tools

  1. Visual Studio Code
  2. Python 3.8
  3. TensorFlow 2.x

Results

TRAINING (50,000 examples)

  1. Accuracy - 87.17%
  2. Loss - 0.3812

VALIDATION (5,000 examples)

  1. Accuracy - 77.20%
  2. Loss - 0.7815

TESTING (5,000 examples)

  1. Accuracy - 76.80%
  2. Loss - 0.808

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Classification of CIFAR-10 dataset using a Deep Convolutional Neural Network.

Topics

computer-vision deep-learning keras jupyter-notebook visual-studio-code python3 classification matplotlib convolutional-neural-networks cifar10 tensorflow2

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