Category Archives: Keras

It had been several months since I used a MacOS machine for machine learning with Keras/TensorFlow so I decided to do some examples to make sure there were no significant breaking changes. I bought a refurbished MacBook Air from the … Continue reading →

One of my standard neural network examples is sentiment classification on the IMDB Movie Review dataset. The goal is to predict the sentiment (0 = negative, 1 = positive) of a natural language movie review such as, “The movie was … Continue reading →

One of my standard neural network examples is image classification on the MNIST dataset. The full MNIST (modified National Institure of Standards and Technology) dataset has 60,000 images for training and 10,000 images for testing. Each image is a 28 … Continue reading →

One of my standard neural network examples is to predict employee income from sex, age, city, and job-type. Predicting a single numeric value is usually called a regression problem. (Note: “logistic regression” predicts a single numeric probability value between 0.0 … Continue reading →

Every few months I revisit my standard neural network examples to make sure that changes in the underlying code libraries (PyTorch, Keras/TensorFlow) haven’t introduced a breaking change(s). One of my standard examples is autoencoder anomaly detection. The idea is to … Continue reading →

Keras is a neural network code library. Keras relies on another library called TensorFlow. If you install TensorFlow you also install Keras. Note: In older versions, you had to install TensorFlow and Keras separately. Prerequisites: A machine with a relatively … Continue reading →