Andrew-Coursera-DL课程-笔记part1-1(Neural Networks Basics)

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Logistic Regression as a Neural Network

  1. Binary Classification
  2. Logistic Regression
  3. Logistic Regression Cost Function

    loss function指一个数据的损失
    cost function指整个数据集的损失

  4. Gradient Descent

  5. Derivatives

  6. Derivatives with a Computation Graph

  7. Logistic Regression Gradient Descent

  8. Gradient Descent on m Examples

Python and Vectorization

  1. Vectorization

  2. More Vectorization Examples

  3. Vectorizing Logistic Regression
  4. Vectorizing Logistic Regression’s Gradient Output
  5. Broadcasting in Python
    ···
x1 = np.array([3,4,5])print x1+5[ 8  9 10]
  1. A note on python/numpy vectors

    python中(m,n)+(1,n)==(m,n)+(m,n)
  2. Explanation of logistic regression cost function
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