Loading deepchem/nn/activations.py +3 −0 Original line number Diff line number Diff line Loading @@ -68,6 +68,9 @@ def softmax(x): def elu(x, alpha=1.0): return model_ops.elu(x, alpha) def selu(x): return model_ops.selu(x) def softplus(x): return tf.nn.softplus(x) Loading deepchem/nn/model_ops.py +6 −0 Original line number Diff line number Diff line Loading @@ -645,6 +645,12 @@ def relu(x, alpha=0., max_value=None): return x def selu(x): alpha = 1.6732632423543772848170429916717 scale = 1.0507009873554804934193349852946 return scale * elu(x, alpha) def hard_sigmoid(x): """Segment-wise linear approximation of sigmoid. Faster than sigmoid. Loading Loading
deepchem/nn/activations.py +3 −0 Original line number Diff line number Diff line Loading @@ -68,6 +68,9 @@ def softmax(x): def elu(x, alpha=1.0): return model_ops.elu(x, alpha) def selu(x): return model_ops.selu(x) def softplus(x): return tf.nn.softplus(x) Loading
deepchem/nn/model_ops.py +6 −0 Original line number Diff line number Diff line Loading @@ -645,6 +645,12 @@ def relu(x, alpha=0., max_value=None): return x def selu(x): alpha = 1.6732632423543772848170429916717 scale = 1.0507009873554804934193349852946 return scale * elu(x, alpha) def hard_sigmoid(x): """Segment-wise linear approximation of sigmoid. Faster than sigmoid. Loading
