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Post: Drop Out Regularization
original code Z1 = np.dot(W1.T, X) + b1 A = np.tanh(Z1) D = np.random.rand(A.shape[0], A.shape[1]) D = D < keep_prob A * D A = A / keep_prob Z2 = np.dot(W2.T, X) + b2
in the last line, I think it should be Z2 = np.dot(W2.T, A) + b2
The text was updated successfully, but these errors were encountered:
Post: Drop Out Regularization
original code
Z1 = np.dot(W1.T, X) + b1 A = np.tanh(Z1) D = np.random.rand(A.shape[0], A.shape[1]) D = D < keep_prob A * D A = A / keep_prob Z2 = np.dot(W2.T, X) + b2
in the last line, I think it should be
Z2 = np.dot(W2.T, A) + b2
The text was updated successfully, but these errors were encountered: