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0.0.1

Contents

  • 1. Environment
  • 2. Tensor
  • 3. Autograd
  • 4. Data
  • 5. Transformation
  • 6. Loss function
  • 7. Optimizer
  • 8. Scheduler
  • 9. Models, Convolutional Neural Networks
  • 10. Saving and Loading Models
  • 11. Learning
  • 12. Recurrent Neural Network
  • 13. Generative Adversarial Network
  • 14. Neural Transfer
  • 15. Object Detection
  • 16. Tensorboard
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