python-kerasHow do I set the input shape when using Keras with Python?
When using Keras with Python, the input shape of a model can be set when defining the model. For example, if defining a model with two input layers:
model = Sequential()
model.add(Dense(32, input_shape=(784,)))
model.add(Dense(32))
The input_shape
argument of the first layer defines the shape of the input data. In this example, the shape is (784,)
, which means the input is an array of 784 elements.
If a model has more than one input layer, the shape of each layer must be specified. For example:
model = Sequential()
model.add(Dense(32, input_shape=(784,)))
model.add(Dense(32, input_shape=(128,)))
The first layer has an input shape of (784,)
and the second layer has an input shape of (128,)
.
The input_shape
argument can also be a tuple of integers, such as (784, 1)
. This indicates that the input is an array of 784 elements, each element being an array of 1 element.
If the input data is an image, the shape of the input should include the number of channels (e.g. 3 for RGB images). For example:
model = Sequential()
model.add(Dense(32, input_shape=(128, 128, 3)))
The input shape is (128, 128, 3)
, which indicates that the input is an array of 128x128 pixels, with 3 channels (RGB).
For more information, see the Keras documentation.
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