Social Network Branding Guidelines

I am here to tell you that Facebook, Google, Twitter, or LinkedIn aren’t going to be happy when they find out that you changed their icon color to green.

I am here to tell you that Facebook, Google, Twitter, or LinkedIn aren’t going to be happy when they find out that you changed their icon color to green. But…

Team LoginRadius

September 08, 2015

I am here to tell you that Facebook, Google, Twitter, or LinkedIn aren’t going to be happy when they find out that you changed their icon color to green. But, hey at least you didn’t distort the logo.

Hello and welcome to another segment of me telling you things that you need to know but will ignore at some point. Let’s get started.

Social Login and Social Sharing are everywhere. Some people even combine it with with their User Registration. There’s no surprise that on every website you go to, you’ll see either well designed social icons or just plain ugliness. We can’t blame them, they want their icons to be unique and eye catching.

Beauty!

But, the universe is full of holes inside an “A” whom sometimes destroy a thing of beauty.

Just. Stop!

Then there’s the “I use my own brand color” kind of people.

neural networks

Neural networks, as their name implies, are computer algorithms modeled after networks of neurons in the human brain. Learn more about neural networks from Algorithmia.

Recurrent neural networks, also known as RNNs, are a class of neural networks that allow previous outputs to be used as inputs while having hidden states.

The purpose of this project is to build and evaluate Recurrent Neural Networks(RNNs) for sentence-level classification tasks. Let's understand about recurrent neural networks for multilabel text classification tasks.

Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems vaguely inspired by the biological neural networks that constitute animal brains.

Convolutional Neural Network: How is it different from the other networks? What’s so unique about CNNs and what does convolution really do? This is a math-free introduction to the wonders of CNNs.