Deep Learning


Course Outline

Sign up here:

Week 1
    Supplemental information
        Previous ML course
        Basic Machine Learning
        Some mathematics
            Matrix Multiplication
        Background in descriptive statistics
            Articles for each Week


Week 2
    Neural Network Architecture
    Basic Python implementation
        Feed Forward


Week 3
    High level:
    Hyperparameter Tuning


Week 4
    MLP (Deeeeeep Learning)
    Interpreting/Explanability 2-layer
    Visualization tools


Week 5 - Visual Applications
    Convolutional Neural Networks (CNN)
        Tune via architechure
    Transfer learning


Week 6 - Sequencing Architectures

       Recurrent Neural Networks (RNN)
       Long Short Term Memory (LSTM)

       Gated Recurrent Units (GRU)

    Tuning mechanisms
    Transfer Learning


Week 7 - Advanced Architectures
    Combination CNN/RNN
        Image captioning
    Word Embeddings


Week 8, 9, 10 - Advanced Applications
    Unsupervised Learning


    Recommendation Engines

    Reinforcement Learning
    Generative Adversarial Networks
    Internet Of Things (IOT)
        Rasberri Pi

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