1. Gradient Descent and Optimization
  2. Introduction to Neural Networks
  3. Convolutional Neural Network
  4. Recurrent Neural Networks
  5. Encoder-Decoder Models
  6. LSTM Model
  7. Generative Adversarial Network (GAN)

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