Neural Network - Paperspace Blog

Generating an interactive Pix2Pix model with Gradient° and ml5.js

This post will go through the process of training a generative image model using Gradient° and then porting the model to ml5.js, so you can interact with it in

Series: Optimization

Intro to optimization in deep learning: Vanishing gradients and choosing the right activation function

An look into how various activation functions like ReLU, PReLU, RReLU and ELU are used to address the vanishing gradient problem, and how to chose one amongst them for your network.

Machine Learning

Style Transfer Part 2: Face Swap!

Face transfer using deep neural nets Introduction In the previous article we looked at what style transfer was and how to use it to create your own art. Now, we will focus on how to extend the capabilities of style transfer beyond the art

Machine Learning

Recurrent Neural Networks (RNNs) : Part 1

Building an intuition There is a vast amount of data which is inherently sequential, such as speech, time series (weather, financial, etc.), sensor data, video, and text, just to mention some. Recurrent Neural Networks (RNNs) are a family of neural networks designed specifically for