The Artificial Neural Networks (ANN) system appeared after 1940s. It is made up of a number of neurons with adjustable connection weights. It has the characteristics of massively parallel processing, distributed information storage, and good self-organizing and self-learning ability. The BP (Back Propagation) algorithm, also known as the error back propagation algorithm, is a supervised learning algorithm in the artificial neural network. The BP neural network algorithm can approximate any function in theory, and the basic structure is composed of nonlinear change units, and has a strong nonlinear mapping ability.

Filename	Size	Update
07 神经网络与深度学习.pdf	4995739	2017-12-16

• 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．