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P(ds) - Coggle Diagram

- - - - ML
        
        RNN
        
        Optimisation ML DeepL Hard
        
        Hard large niumbers nodes
        
        Alpha
        
        Low
        
        Lowest learning
        
        High
        
        Highest
        
        SGD
        
        Dying neuron pb
        
        Relu pb
        
        Tanh pb
        
        Vanishing pb
        
        VALIDATION SPLIT POSSIBILITY
        
        Epochs .
        
        Validation : deep model (on validation data)
        
        KFOLD NON
        
        callbacks --> EARLYSTOPPPING(patience)
        
        Model evolution
        
        ^ architecture
        
        N/L
        
        L
        
        2 more items...
        
        Nodes to L
        
        2 more items...
        
        Models largest variability
        
        M1
        
        M2
        
        M1 vs M2 using plt.plot(result_fit["loss_value"].history,r ...)
- - - - P1
      - M1
    - - P2
        
        C,E,T(D,l),L, T(M,m,t),M(M)
        
        T
        
        N
        
        Love
        
        O
      - M2