Sidmoid
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Neurons and Layers - Neuron with Sigmoid activation | Advanced Learning AlgorithmMachine Learning/Stanford ML Specialization 2024. 2. 3. 22:19
Coursera Machine Learning Specialization > Supervised Machine Learning: Advanced Learning Algorithms > Neural Network Intuition 이번에는 sigmoid activation을 사용하는 뉴런(unit)을 사용해서 함수를 개발해보자. Course 1에서 사용했던 logistic regression과 동일하다. $$ f_{\mathbf{w},b}(x^{(i)}) = g(\mathbf{w}x^{(i)} + b) $$ $$g(x) = sigmoid(x)$$ Dataset 먼저, 데이터를 준비해보자. X_train = np.array([0., 1, 2, 3, 4, 5], dtype=np.float32).reshape(..