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Deep Learning

    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)