Welcome Developers! In my last post I taught you how to create a simple Neural Network that learned to read Handwritten digits using the MNIST Dataset. For this post, I’d like to provide you with some different ways you can evaluate your Neural Network, and then use those to improve its accuracy, which will be […]Read More Tensorflow with Python: Evaluating our Handwritten Digit Classifier
Welcome Developers! In this post, I will be covering the basic composition of a Neural Network, as well as some of the basic functionality. I’ll also include a brief comparison between a couple of popular Machine Learning Techniques and Neural Networks, so you can get an idea of how awesome Neural Networks really are! Neural […]Read More Neural Network Theory: Composition of a Neural Network
Welcome Developers! Today we will dive into making our first Neural Network. We will be doing this using Python and Tensorflow. The data set that we will train our Neural Network for is known as the MNIST(Modified National Institute of Standards and Technology) Handwritten number data set. This data set is widely available from many […]Read More Tensorflow with Python: Learning to Read Handwritten Numbers
Welcome back Developers! Today, I am going to begin discussing Neural Network Theory! In this post, I will be focusing on covering what a neuron is, as well as two different models for neurons: The Perceptron, and the Sigmoid Neuron. The Neuron Neural Networks are designed to mimic Neural Networks found in that of our […]Read More Neural Network Theory: The Neuron
Welcome Developers to NeuroNets!
Hi, my name is Konnor Timmons, and I own this blog. This is also my first post! What I aim to do with this blog is to document my experience of learning TensorFlow, as well as teach you all how to use it too.Read More Intro to TensorFlow with Python