0 weights,1,abstract class,1,active function,3,adam,2,Adapter,1,affine,2,argmax,1,back propagation,3,binary classification,3,blog,2,Bucket list,1,C++,11,Casting,1,cee,1,checkButton,1,cnn,3,col2im,1,columnspan,1,comboBox,1,concrete class,1,convolution,2,cost function,6,data preprocessing,2,data set,1,deep learning,31,Design Pattern,12,DIP,1,django,1,dnn,2,Don't Repeat Your code,1,drop out,2,ensemble,2,epoch,2,favicon,1,fcn,1,frame,1,gradient descent,5,gru,1,he,1,identify function,1,im2col,1,initialization,1,Lab,9,learning rate,2,LifeLog,1,linear regression,6,logistic function,1,logistic regression,3,logit,3,LSP,1,lstm,1,machine learning,31,matplotlib,1,menu,1,message box,1,mnist,3,mse,1,multinomial classification,3,mutli layer neural network,1,Non Virtual Interface,1,normalization,2,Note,21,numpy,4,one-hot encoding,3,OOP Principles,2,Open Close Principle,1,optimization,1,overfitting,1,padding,2,partial derivative,2,pooling,2,Prototype,1,pure virtual function,1,queue runner,1,radioButton,1,RBM,1,regularization,1,relu,2,reshape,1,restricted boltzmann machine,1,rnn,2,scrolledText,1,sigmoid,2,sigmoid function,1,single layer neural network,1,softmax,6,softmax classification,3,softmax cross entropy with logits,1,softmax function,2,softmax regression,3,softmax-with-loss,2,spinBox,1,SRP,1,standardization,1,sticky,1,stride,1,tab,1,Template Method,1,TensorFlow,31,testing data,1,this,2,tkinter,5,tooltip,1,Toplevel,1,training data,1,vanishing gradient,1,Virtual Copy Constructor,1,Virtual Destructor,1,Virtual Function,1,weight decay,1,xavier,2,xor,3,
COMMENTS