Question

我在尝试运行“火车”时遇到了错误值。功能如下。如何使用点积解决问题？

def train(self, inputs_list, targets_list):
        # Convert inputs list to 2d array
        inputs = np.array(inputs_list, ndmin=2).T
        targets = np.array(targets_list, ndmin=2).T

        #### Implement the forward pass here ####
        ### Forward pass ###
        # TODO: Hidden layer
        hidden_inputs = np.dot(inputs,self.weights_input_to_hidden.T)
        # signals into hidden layer
        hidden_outputs = self.sigmoid(hidden_inputs)
        # signals from hidden layer
        print(hidden_outputs)

        # TODO: Output layer
        final_inputs = np.dot(hidden_outputs,self.weights_hidden_to_output)
        # signals into final output layer
        final_outputs = final_inputs
        # signals from final output layer

        #### Implement the backward pass here ####
        ### Backward pass ###

        # TODO: Output error
        output_errors = final_outputs - targets_list
        # Output layer error is the difference between desired target and actual output.

        # TODO: Backpropagated error
        hidden_errors = np.dot(output_errors,self.weights_hidden_to_output)
        # errors propagated to the hidden layer
        hidden_grad = hidden_outputs * (1 - hidden_outputs)
        # hidden layer gradients

        # TODO: Update the weights
        self.weights_hidden_to_output += self.lr * output_errors * hidden_outputs
        # update hidden-to-output weights with gradient descent step
        self.weights_input_to_hidden += self.lr * hidden_errors * hidden_grad * inputs
        # update input-to-hidden weights with gradient descent step


<ipython-input-21-c3bea2c48af8> in train(self, inputs_list, targets_list)
     31         ### Forward pass ###
     32         # TODO: Hidden layer
---> 33         hidden_inputs = np.dot(inputs,self.weights_input_to_hidden.T)
     34         # signals into hidden layer
     35         hidden_outputs = self.sigmoid(hidden_inputs)

ValueError: shapes (56,1) and (56,2) not aligned: 1 (dim 1) != 56 (dim 0)

Answer 1

检查输入和weights_input_to_hidden的形状。我相信你可能不需要Transpose。

Answer 2

所以你只需要改变 hidden_inputs = np.dot（inputs，self.weights_input_to_hidden.T）至 hidden_inputs = np.dot（self.weights_input_to_hidden，输入）？

ValueError：形状（56,1）和（56,2）未对齐：1（暗淡1）！= 56（暗淡0）

2 个答案: