If you're too lazy or don't have time to read some of the top notch AI research papers this year. Then check out this blog post, they've summarized 10 important papers from 2018. The list is a small but fine one. Papers cover topics like NLP (ULMFiT, BERT), adversarial attack but also recent progresses into GANs. Definitely check it out! deeplearning machinelearning
Article: https://lnkd.in/d7dSupe
Showing posts with label datascience. Show all posts
Showing posts with label datascience. Show all posts
December 08, 2018
December 02, 2018
Generating Classical Music with Neural Networks
Generating classical music with neural networks - Nice interview with Christine McLeavey Payne on how she trained a LSTM neural network to generate piano and chamber music. The best part is where she explained how she did the feature encoding. Nice tricks used and also nice explanation on chordwise vs notewise encoding and also on how she ended up using notewise encoding. Code is also provided. Check it out!
hashtag#deeplearning hashtag#machinelearning
Interview: https://lnkd.in/dTfTsUc Github: https://lnkd.in/ddxNWB9
hashtag#deeplearning hashtag#machinelearning
Interview: https://lnkd.in/dTfTsUc Github: https://lnkd.in/ddxNWB9
Labels:
data science,
datascience
Location:
Thazhekode, Kerala 679357, India
October 17, 2017
Find Mean Mode and Median in Java : Introduction to Data Science
import java.util.Arrays;
/**
* Introduction to Data science
* Finding Mean Mode and Median
*/
/**
* @author belazy
* Consumerfed triveni supermarket kozhikode
*
*/
public class DataScienceLessonOne {
Integer[] arraySample = {4,5,3,3,5,6,7,3,1,5};
/**
* @param args
*/
public static void main(String[] args) {
DataScienceLessonOne dataScience = new DataScienceLessonOne();
System.out.println(dataScience.findMean());
System.out.println(dataScience.findMedian());
System.out.println(dataScience.findMode());
}
private char[] findMode() {
// TODO Auto-generated method stub
return null;
}
private float findMedian() {
// TODO Auto-generated method stub
float median = 0;
Arrays.sort(arraySample);
median = (arraySample.length % 2) == 0 ? (arraySample[arraySample.length/2]+arraySample[(arraySample.length/2)-1])/2 :arraySample[arraySample.length/2];
return median;
}
private float findMean() {
int sum = 0;
float mean = 0;
for(int a:arraySample){
sum = sum +a;
mean = sum/arraySample.length;
}
return mean;
}
}
/**
* Introduction to Data science
* Finding Mean Mode and Median
*/
/**
* @author belazy
* Consumerfed triveni supermarket kozhikode
*
*/
public class DataScienceLessonOne {
Integer[] arraySample = {4,5,3,3,5,6,7,3,1,5};
/**
* @param args
*/
public static void main(String[] args) {
DataScienceLessonOne dataScience = new DataScienceLessonOne();
System.out.println(dataScience.findMean());
System.out.println(dataScience.findMedian());
System.out.println(dataScience.findMode());
}
private char[] findMode() {
// TODO Auto-generated method stub
return null;
}
private float findMedian() {
// TODO Auto-generated method stub
float median = 0;
Arrays.sort(arraySample);
median = (arraySample.length % 2) == 0 ? (arraySample[arraySample.length/2]+arraySample[(arraySample.length/2)-1])/2 :arraySample[arraySample.length/2];
return median;
}
private float findMean() {
int sum = 0;
float mean = 0;
for(int a:arraySample){
sum = sum +a;
mean = sum/arraySample.length;
}
return mean;
}
}
Labels:
array in java,
datascience
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