Deep Learning · TEE · index

Course contents

  1. Mathematics revision
  2. Neural-network foundations
  3. Optimization algorithms
  4. Regularization and generalization
  5. Convolutional neural networks
  6. CNN architectures and transfer learning
  7. Recurrent neural networks
  8. Formula reference and exam revision