Simple-Grid | basic responsive grid for winners | Grid library
kandi X-RAY | Simple-Grid Summary
kandi X-RAY | Simple-Grid Summary
A basic responsive grid for winners. This project is based on Chris Coyier's post on grids
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Simple-Grid
Simple-Grid Key Features
Simple-Grid Examples and Code Snippets
Community Discussions
Trending Discussions on Simple-Grid
QUESTION
Does anybody use w2grid?
I cannot figure out how to make it fill 100% of its container.
The html looks like this:
...ANSWER
Answered 2021-Apr-12 at 16:55I FINALLY figured it out! I moved the
QUESTION
I have a similar open question here on Cross Validated (though not implementation focused, which I intend this question to be, so I think they are both valid).
I'm working on a project that uses sensors to monitor a persons GPS location. The coordinates will then be converted to a simple-grid representation. What I want to try and do is after recording a users routes, train a neural network to predict the next coordinates, i.e. take the example below where a user repeats only two routes over time, Home->A and Home->B.
I want to train an RNN/LSTM with sequences of varying lengths e.g. (14,3), (13,3), (12,3), (11,3), (10,3), (9,3), (8,3), (7,3), (6,3), (5,3), (4,3), (3,3), (2,3), (1,3)
and then also predict with sequences of varying lengths e.g. for this example route if I called
ANSWER
Answered 2019-Aug-05 at 08:42I'm not very experienced with RNNs, but I'll give it a try.
A few things to pay attention to before we start:
1. Your data is not normalized.
2. The output prediction you want (even after normalization) is not bounded to [-1, 1]
range and therefore you cannot have tanh
or ReLU
activations acting on the output predictions.
To address your problem, I propose a recurrent net that given a current state (2D coordinate) predicts the next state (2D coordinates). Note that since this is a recurrent net, there is also a hidden state associated with each location. At first, the hidden state is zero, but as the net sees more steps, it updates its hidden state.
I propose a simple net to address your problem. It has a single RNN layer with 8 hidden states, and a fully connected layer on to to output the prediction.
QUESTION
I'm trying to implement an infinite scrolling but I can't get document.body.scrollHeight
or window.scrollY
or window.pageYOffset
to work in my app. I've tried it by inspecting wikipedia and other sites and it works fine, but for some reason it just doesn't work in my React app. Can anyone help?
Inspection - React - Fail
Inspection - Other apps e.g. Wikipedia - Works
App logging - React - Fail
I've since tried finding this scrollY property in other React applications but still nothing. Always logs 0
in a react app.
As you can see in the image, the scrollbar is clearly not at the top.
...ANSWER
Answered 2017-Jan-13 at 08:18Problem solved! It turns out you cannot use height: 100%
if you want to use the scrollY
prop as well. If you're using a library, like I was using simple-grid that comes with the html, body: {height: 100%}
, you have to remove it.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Simple-Grid
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page