To reduce a network size and calculation cost with regard to a neural network to which multidimensional data is input. Provided is an information processing device including: an estimation unit configured to estimate a status by using a neural network constituted by single- or multi-dimensional neurons that perform output on the basis of input multidimensional data. The neural network includes a transformation layer configured to transform output of a type 1 neuron into a dimension corresponding to input of a type 2 neuron, and the type 2 neuron performs a process based on lower-dimensional data than the type 1 neuron.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An information processing device comprising: an estimation unit configured to estimate a status by using a neural network constituted by single- or multi-dimensional neurons that perform output on the basis of input multidimensional data, wherein the neural network includes a transformation layer configured to transform output of a type 1 neuron into a dimension corresponding to input of a type 2 neuron, and the type 2 neuron performs a process based on lower-dimensional data than the type 1 neuron. 2. The information processing device according to claim 1, wherein the type 1 neuron is a complex-valued neuron, and the type 2 neuron is a real-valued neuron. 3. The information processing device according to claim 2, wherein the neural network further includes a complex-valued network constituted by at least one or more layers including an input layer to which complex data is input, and a real-valued network constituted by at least one or more layers including an output layer to which real data is input, and wherein the transformation layer connects the complex-valued network and the real-valued network. 4. The information processing device according to claim 3, wherein the transformation layer propagates error information in the real-valued network backward to the complex-valued network. 5. The information processing device according to claim 2, wherein the transformation layer divides output of the complex-valued neuron on the basis of a real part and an imaginary part, and transforms the output into a dimension corresponding to input of the real-valued neuron. 6. The information processing device according to claim 2, wherein the transformation layer divides output of the complex-valued neuron on the basis of phase and amplitude, and transforms the output into a dimension corresponding to input of the real-valued neuron. 7. The information processing device according to claim 6, wherein, on the basis of a sine wave and a cosine wave, the transformation layer further divides the output of the real-valued neuron that has been divided on the basis of phase, and transforms the output into a dimension corresponding to input of the real-valued neuron. 8. The information processing device according to claim 2, wherein, the transformation layer decides the number of the real-valued neurons on the basis of phase. 9. An information processing method using a neural network constituted by single- or multi-dimensional neurons to which multidimensional data is input, the information processing method comprising: transforming output of a type 1 neuron into a dimension corresponding to input of a type 2 neuron, wherein, in the transformation, the type 2 neuron performs a process based on lower-dimensional data than the type 1 neuron.