def forward(self, input, train=True):
h = input
h = L.dropout(h, rate=self.drate, train=train)
h = self.l1(h)
h = L.relu(h)
# h = L.dropout(h,rate=self.drate,train=train)
h = self.l2(h)
return L.softmax(h)
def forward(self,input,train=True):
h = input
h = L.dropout(h,rate=self.drate,train=train)
h = self.l1(h)
h = L.relu(h)
#h = L.dropout(h,rate=self.drate,train=train)
h = self.l2(h)
return L.softmax(h)
def forward(self,input,train=True):
h = input
h = self.l1(h)
h = L.relu(h)
h = self.l2(h)
return L.softmax(h)
def forward(self, inputs, train=True):
h = inputs
h = self.l1(h)
h = L.relu(h)
h = self.l2(h)
return L.softmax(h)