Layer that performs element-wise averaging on an Array of inputs.
It takes as input a list of tensors, all of the same shape, and returns a
single tensor (also of the same shape). For example:
constinput1 = tf.input({shape: [2, 2]}); constinput2 = tf.input({shape: [2, 2]}); constaverageLayer = tf.layers.average(); constaverage = averageLayer.apply([input1, input2]); console.log(JSON.stringify(average.shape)); // You get [null, 2, 2], with the first dimension as the undetermined batch // dimension.
Layer that performs element-wise averaging on an
Array
of inputs.It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape). For example: