Pretrained CNNs
Given a set of images with a relatively high degree of separation between classes, it is perfectly feasible to train a CNN to classify those images on a typical laptop or PC.
Databricks Clusters
This is a continuation of my series of posts on Databricks where we most recently reviewed the Workspace & Notebooks. Now let’s get more familiar with the concept of clusters. […]
Convolutional Neural Networks
Computer vision is a branch of AI in which computers extract perceptual information from images.
Text Classification with Neural Networks
It’s not difficult to use Scikit-learn to build machine-learning models that analyze text for sentiment, identify spam e-mails, and classify textual data in other ways.
Workspaces & Notebooks
Now that you’ve instantiated the Databricks service within Azure, let’s take a tour of the workspace & become familiar with Notebooks. Workspace The above image shows the Databricks homepage of […]
Multiclass Classification with Neural Networks
My previous post described how to build a neural network that serves as a binary classifier. Here’s a binary classifier that accepts two inputs, has a hidden layer with 128 […]
Binary Classification with Neural Networks
One of the common uses for machine learning is performing binary classification, which looks at an input and predicts which of two possible classes it belongs to. Practical uses include […]
Building a Tag Index with Jekyll and Liquid
Jekyll and Liquid provide a powerful yet easy-to-use set of tools for creating websites through both the plugins provided by Jekyll and the template markup provided by Liquid. While an […]
Building Neural Networks with Keras and TensorFlow
Machine learning isn’t hard when you have a properly engineered dataset to work with. The reason it’s not hard is libraries such as Scikit-learn and ML.NET, which reduce complex mathematical […]