Activation functions explained

I love this kind of featured images. It makes people think that you are so smart and that you've figured out life. They're hilarious. It it makes the topic of the post seem like it's really¬†deep, pun intended. If you've worked with neural networks even a little bit, you've probably come across the term¬†activation function. … Continue reading Activation functions explained

What Is Dropout? – Deep Learning

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

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