datamaker | Data generator command-line tool | CSV Processing library
kandi X-RAY | datamaker Summary
kandi X-RAY | datamaker Summary
A command-line Node.js script and library that generates JSON or CSV data in bulk. If you are building an IT system, then the chances are you'll need to populate a database (whether SQL or NoSQL) with some reasonably realistic data to test and benchmark with.
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QUESTION
I just started to learn about neural network and this is my first one. The problem is that the more data I have, the lower the weight become after 2-3 epochs which is unusual and this cause my NN to learn nothing.
To repodruce In DataSet class, search for function CreateData and change nbofexample to something like 20, you'll see if you print the weights that they are in a normal range (evenly spaced between -1 and 1) but then if you set the nbofexample to something like 200, then after only 2 or 3 epochs, most of the weigths of the last layer will be extremely close from 0 and they will stay in that zone for the rest of the training. Obviously, this cause the NN to fail.
By the way, my NN is basically analyzing arrays of number between 0 and 9 divided by 10 as a normalization to check if the array is sorted. In the code below I put a lot of comments the code can be easily understand.
There's is probably an easy fix but I just don't get it :(
Here is the complete code if you want try it: (it's in python btw)
...ANSWER
Answered 2020-Aug-15 at 20:19Neural Networks can suffer from something known as the Vanishing Gradient Problem, caused by the more classical activations like Sigmoid or Tanh.
In laymen terms, basically activations like Sigmoid and Tanh really squeeze the inputs, right? For example, sigmoid(10) and sigmoid(100) are .9999 and 1 respectively. Even though the inputs have changed so much, the outputs have barely changed - the function is effectively constant at this point. And where a function is almost constant, its derivative tends to zero (or a very small value). These very small derivatives/gradients multiply with each other and become effectively zero, preventing your model from learning anything at all - your weights get stuck and stop updating.
I suggest you do some further reading on this topic at your own time. Among several solutions, one way to solve this is to use a different activation, like ReLU.
QUESTION
I have the below object which has three properties
...ANSWER
Answered 2020-Jul-06 at 17:23QUESTION
How can I move my labels on my x axes in between another x axes label. Nothing seems to work and I was unable to find anything on the docs. Is there a workaround? I'm using line chart time series. https://www.chartjs.org/samples/latest/scales/time/financial.html
Currently, with the code I have its generating the figure below:
...ANSWER
Answered 2020-May-17 at 07:43The option you're looking for is offsetGridLines
.
If
true
, grid lines will be shifted to be between labels.
QUESTION
I have a arrays with multiple elements, some of this elements has same name and repeat through array. I need to get all elements of this array, getting only one elements of repeated elements and all non repeated elements.
I read this document about arrays in dart but doesn´t much helpier. I don't have example code, i don´t know how exactly that i start.
Do, anybody know how can i do this?
EDIT: ARRAY EXAMPLE
Many mistakes in JSON, forget it, is a simple example.
...ANSWER
Answered 2019-May-17 at 11:20You can do it via Set
QUESTION
I am very new to asynchronous programming.I am reading all the data of database in Json array and then iterating it in the observer from where I call another observer to post data to server.But the problem is I only receives first value of json array and then it terminates. Is there any thing present in Rx java to handle this thing?.I want to send value to server one by one from json array. Should I use flatmapiterable to return data to serverpost observer? or should I use some another technique?
Here is my code:
...ANSWER
Answered 2017-May-04 at 13:39Apologies as this is in Java 8:
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