Create a ReshapeLayer that reshapes any input into a 2×3 matrix:

Create a ReshapeLayer that reshapes any input into a 2×3 matrix:

Apply the layer to a vector:

Apply the layer to a 4-dimensional array:

Create a ReshapeLayer that reshapes a length-1 vector into a single number:

Apply the layer to an input:

Create a ReshapeLayer that reshapes an input array of a specific size:

Apply the layer to a vector:

Create a ReshapeLayer that copies the size of the first dimension of its input:

Apply the layer to an array of dimensions 6×1×4:

Create a ReshapeLayer that copies the size of the first dimension of its input and infers the size of the fourth dimension from the others:

Apply the layer to an array of dimensions 6×4×4:

Create a ReshapeLayer the takes a 32×32 RGB image and returns a 96×32 grayscale image:

Create a ReshapeLayer that adds a dimension of size 1 on the deepest level of an array:

Apply the layer to an input:

FlattenLayer can be implemented using ReshapeLayer. Flatten the first two dimensions of a 2×3×3 array by reshaping it to the correct output dimensions:

The specifications Automatic and Inherited allow ReshapeLayer to recompute its output size when its input size is changed by NetReplacePart. Create a ReshapeLayer:

Change its input size:

If the same ReshapeLayer was created with fixed specifications, resizing would lead to a failure:

For the case of integer dimension specifications, ReshapeLayer computes:

Evaluate on some data:

The total number of elements in the input must equal the total number in the output:

Only one Automatic is allowed in the dimension specification, as more than one would lead to ambiguities in the output size:

Reshape a list into a matrix by manipulating the number of rows and columns:

Reshape a list into an array of depth 3 and use Image3D to visualize the result:

Reshape a list in various ways: