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3_RNN/TanH.py

+import numpy as np
+from .Base import BaseLayer
+
+
+class TanH(BaseLayer):
+
+    def __init__(self):
+        super().__init__()
+        self.activation = None
+        self.error_tensor = None
+
+    def forward(self,input_tensor):
+
+        self.activation = np.tanh(input_tensor)
+
+        return self.activation
+
+    def backward(self,error_tensor):
+
+        self.error_tensor = error_tensor * (1-self.activation**2)
+
+        return self.error_tensor