Overfitting can be a serious problem in deep learning. Dropout is a technique developed to solve this exact problem. It is one of the biggest advancements in deep learning to come out in the last few years. What is dropout? Dropout is a technique for addressing the overfitting problem. The idea is to randomly drop … Continue reading What Is Dropout? – Deep Learning

# Category: Neural Networks

# Build A Multi Layer Neural Network With L2 Regularization Using Tensorflow

For some very simple problems, a single layer neural might be able to do the job quite well . You might be able to do to process this data set with a single layer, but this is meant to show you how to build a multi layer neural network utilizing L2 regularization with Tensorflow and … Continue reading Build A Multi Layer Neural Network With L2 Regularization Using Tensorflow

# How To Build A Simple Prediction App Using Tensorflow

In this blog post, I'll be showing you how to create a simple prediction app using Tensorflow. Bear in mind that I am only a beginner and I'm just learning. Please do not take this example as the guideline for how this supposed to be done. For more reliable data about deep learning, check out … Continue reading How To Build A Simple Prediction App Using Tensorflow

# How To Build A Simple Neural Network From Scratch

A a while ago, I transitioned from Android development into deep learning. I went into the reason on why I did it in this article, but the gist of it is that I needed something more technically and with less graphic design. Deep learning is based upon the concept of a neural network. There are … Continue reading How To Build A Simple Neural Network From Scratch