(inputs, filters, kernel, up_dim, stride, attention, activation, alpha = 1)

(inputs, filters, kernel, strides, activation)

(x, activation)

(n, time_steps, input_dim, attention_column=2)

(shape = (224,224,3), num_classes = 1000)

(inputs)

(model, inputs, layer_name=None)

(time_steps, input_dim, lstm_units = 32)

(inputs)

(x)

(x)