Depth belief networks (Deep Belief Network, DBN) proposed by the Geoffrey Hinton in 2006. It is a model generated by heavy weight training nerve yuan between, we can make the entire neural network in accordance with the highest probability to generate training data. Not only can we use the DBN recognition feature, classification data, you can also use it to generate data. The following picture shows with DBN recognition of handwritten numbers:

DBN\dbnsetup.m
...\dbntrain.m
...\dbnunfoldtonn.m
...\rbmdown.m
...\rbmtrain.m
...\rbmup.m
DBN

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．