I am confused about the method view() in the following code snippet. class Net(nn.Module): def __init__(self): super(Net, self).__init__() self.conv1 = nn.Conv2d(3, 6, 5) self.pool = nn.MaxPool2d(2,2) self.conv2 = nn.Conv2d(6, 16, 5) self.fc1 = nn.Linear(16*5*5, 120) self.fc2 = nn.Linear(120, 84) self.fc3 = nn.Linear(84, 10) def forward(self, x): x = self.pool(F.relu(self.conv1(x))) x = self.pool(F.relu(self.conv2(x))) x = x.view(-1, … Read more
I have been using the introductory example of matrix multiplication in TensorFlow. matrix1 = tf.constant([[3., 3.]]) matrix2 = tf.constant([[2.],[2.]]) product = tf.matmul(matrix1, matrix2) When I print the product, it is displaying it as a Tensor object: <tensorflow.python.framework.ops.Tensor object at 0x10470fcd0> But how do I know the value of product? The following doesn’t help: print product … Read more
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For any Keras layer (Layer class), can someone explain how to understand the difference between input_shape, units, dim, etc.? For example the doc says units specify the output shape of a layer. In the image of the neural net below hidden layer1 has 4 units. Does this directly translate to the units attribute of the … Read more
