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Back to '>Table of Content'
  • 📝Notes

    •  What is mean by Train , Dev and Test Set Page
    •  Bias Variance Page
    •  Basic Recipe for Machine Learning Page
    •  Regularization Page
    •  Why Regularization Reduces Overfitting Page
    •  Dropout Regularization Page
    •  Understanding Dropout Page
    •  Other Regularization Methods Page
    •  Normalizing Inputs Page
    •  Vanishing-Exploding Gradients Page
    •  Weight Initialization for Deep Networks Page
    •  Numerical Approximation of Gradients Page
    •  Gradient Checking Page
    •  Gradient Checking Implementation Notes Page
    •  Understanding L1 and L2 Regularization in Machine Learning Page
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Prerequisite

  • 🌐1- Machine learning
  • 🌐2-Supervised learning with sklearn
  • 🌐3- Introduction to Python 
  • 🌐4-Deep Learning Libraries
  • 🌐5-Neural Networks and Deep Learning
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