Bách khoa toàn thư mở Wikipedia
[edit] Summary
A dependency graph for an artificial neural network. The variable h, a 2-dimensional vector, depends on x, the input variable. Then g, a 2-dimensional vector variable, depends on h, and finally, f, the output variable, depends on g. In this network, the vector variables can be further decomposed in parallel units. This means that , for example, h_1 is independent of h_2 given x.
Christos Dimitrakakis 2005, created with xfig.
[edit] Licensing
I, the author of this work, hereby publish it under the following licenses:
You may select the license of your choice.
|
Liên kết đến tập tin
Các trang sau có liên kết đến tập tin: