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AI in automotive technology (Perception (2) Capture image/video…

- - - - MATLAB
      - OpenCV
- - - - Supervised learning
        
        Regression
        
        Linear regression
        
        Basis functions
        
        Bin
        
        Piecewise linear
        
        Sigmoid
        
        Sinusodial
        
        Linear
        
        Gaussian
        
        Polynomial
        
        Regularization
        
        Ridge
        
        Lasso
        
        Loss functions
        
        MAE (L1)
        
        Huber
        
        MSE (L2)
        
        Solution
        
        Sequential analytical solution
        
        Numerical iterative solution
        
        Analytical solution
        
        Decision trees
        
        Nonlinear regression
        
        Nonlinear optimization
        
        Gaussian process
        
        Support vector machines
        
        Classification
        
        Nearest neighbor
        
        Support vector machines
        
        Logistic regression
        
        Decision Trees
        
        Confusion Matrix
      - Unsupervised learning
        
        Clustering
        
        Hidden Markov Models
        
        Gaussian mixture
        
        k-Methods
        
        k-Medioid
        
        k-Means
        
        k-Median
        
        DBSCAN
        
        Hierarchical clustering
        
        Distances
        
        Euclidian
        
        Manhattan
        
        Chebyshev
        
        Silhouette coefficient
    - - Deep neural networks
        
        Fully connected layer
        
        Activation function
        
        Sigmoid
        
        ReLu
        
        Leaky ReLu
        
        tanh
        
        ELU
        
        Softmax
        
        Optimizer
        
        Gradient descent
        
        Stochastic
        
        Batches
        
        Loss function
        
        Convolutional neural networks
        
        Dimensions
        
        Padding
        
        Pooling
        
        Max
        
        Average
        
        Unpool
        
        Optimizer
        
        Stochastic gradient descent (+momentum)
        
        Nesterov + Momentum
        
        AdaGrad
        
        RMSProp
        
        Adam
      - Recurrent neural networks
        
        Loss function
        
        Backpropagation through time
        
        Truncated
        
        Teacher forcing
        
        Advanced
        
        Input - Output
        
        Many to one
        
        One to many
        
        Many to many
        
        Multilayer
        
        Bidirectional
        
        LSTM
        
        Sequence to sequence
        
        Gated recurrent unit
      - Single Neuron
        
        Backpropagation
        
        Optimizer
        
        Gradient descent
        
        Activation functions
        
        Identity
        
        Step
        
        Sigmoid
        
        ReLu
        
        Tanh
        
        Loss function
  - - - Breadth First
      - Best First
      - Depth first
    - - Dijkstra
      - A*