Implementing A Convolutional Neural Network Using Tensorflow

Image recognition is currently my favorite type of machine learning. I say currently because I find  language translation and NLP quite interesting. Convolutional neural networks, at the time of writing this, are the most efficient and accurate method used for image recognition. While you could use a standard fully connected deep neural network with a … Continue reading Implementing A Convolutional Neural Network Using Tensorflow

Rewriting Siraj Raval’s Game of Thrones Word Vectors Using Tensorflow

Siraj Raval's video on how to make word vectors out of five A Song Of Ice And Fire books is a helpful demonstration of word embeddings, but not so helpful as a tutorial because he uses a bunch of smaller libraries which enable you to do the training of the model in just a couple … Continue reading Rewriting Siraj Raval’s Game of Thrones Word Vectors Using Tensorflow

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

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

I’m Shifting My Focus Over To Deep Learning

For a while now, my primary focus, in software development, has been Android development. I briefly touched on this in my last blog post Best ways to learn Android development for free. I am not very good at graphic design. It was, by far, the worst part of Android development for me. I couldn't design … Continue reading I’m Shifting My Focus Over To Deep Learning