deep dive coding

Reproduced http://blog.csdn.net/zhoutongchi/article/details/8191991 Learning ing functions and literature applied in behavior recognition/image classification (models and non-models are associated with each other, and algorithms are mutually adopted. There is no clear distinction between them, including the bionic literature) %The research focuses on ICA model and deep learning with sparse encoding. 1) sparse encoding (sparse encoding, automatic encod

　　Sparse Coding: This section briefly introduces Sparse Coding, because Sparse Coding is also an important branch in deep learning and can also extract good features of a dataset. The content of this article is to refer to the Stanford deep learning Tutorial: Sparse

Prednet---Deep predictive coding networks for video prediction and unsupervised learning ICLR 20172017.03.12 Code and video examples can found at: https://coxlab.github.io/prednet/Absrtact: Deep learning techniques based on supervised training have achieved great success, but unsupervised problems remain a difficult problem (learning from the data that has never

I 've been hesitant about How to Write sparse encoding, and I 've looked back and forth several times at ufldl. This is not only an important concept of DL deep learning, but also the pillar of stacked ISA deep feature learning that I have been studying for a long time. This chapter mainly introduces the main concepts of sparse encoding and the principal component analysis method. 1. Sparse

encoding to convert TEMP_GBK = Temp_unicode.encode ("GBK") # Output converted to GBK encoding print (TEMP_GBK)DOS Window execution test:C:\users\anshe>python F:\Python_code\sublime\Day02\print.py ChineseAnother method:Code:#_*_coding:utf-8_*_# defines a variable content in Chinese, the character set is utf-8temp= "Chinese" # decoding, You need to specify what encoding Temp_unicode=temp.decode ("Utf-8") # output is converted to GBK encoding print (Temp_unicode) # Windows terminal requires Gbk,do