Category Archives: Conferences

MNIST Image Classification Using Keras 2.8 on Windows 11

Posted on May 27, 2022 by jamesdmccaffrey

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 →

Posted in Keras, PAW | Leave a comment

MNIST Image Classification Using PyTorch 1.10 on Windows 11

Posted on May 26, 2022 by jamesdmccaffrey

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

Posted in PAW, PyTorch | Leave a comment

Regression (Employee Income) Using Keras 2.8 on Windows 11

Posted on May 24, 2022 by jamesdmccaffrey

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 →

Posted in Keras, PAW | Leave a comment

Regression (Employee Income) Using PyTorch 1.10 on Windows 11

Posted on May 23, 2022 by jamesdmccaffrey

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 →

Posted in PAW, PyTorch | 1 Comment

Autoencoder Anomaly Detection Using Keras 2.8 on Windows 11

Posted on May 19, 2022 by jamesdmccaffrey

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 →

Posted in Keras, PAW | Leave a comment

Logistic Regression for the Banknote Problem Using Raw Python

Posted on May 18, 2022 by jamesdmccaffrey

Every few months I implement a logistic regression (binary classification) model using raw Python (or some other language). The idea is that coding is a skill that must be practiced. One rainy Pacific Northwest afternoon, I zapped out logistic regression … Continue reading →

Posted in Machine Learning, PAW | Leave a comment

Autoencoder Anomaly Detection Using PyTorch 1.10 on Windows 11

Posted on May 17, 2022 by jamesdmccaffrey

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 →

Posted in PAW, PyTorch | Leave a comment

Naive Bayes Classification Example Using Raw Python 3.7

Posted on May 12, 2022 by jamesdmccaffrey

I’m preparing the content for an all-day hands-on workshop. My main topics are all about neural networks, but I have a few classical techniques too, including naive Bayes classification. Here’s an example that I’ll use in the workshop. There are … Continue reading →

Posted in Machine Learning, PAW | Leave a comment

Preparing a Machine for the 2022 Predictive Analytics World All-Day Workshop

Posted on May 10, 2022 by jamesdmccaffrey

I will be presenting an all-day, hands-on machine learning workshop at the 2022 Predictive Analytics World (PAW) and Machine Learning Week (MLW) events, on Monday, June 20, in Las Vegas. See https://www.predictiveanalyticsworld.com/machinelearningweek/. The PAW / MLW events have lots of … Continue reading →

Posted in Keras, Machine Learning, PAW, PyTorch | Leave a comment

Installing Keras 2.8.0 on Windows 10/11

Posted on May 10, 2022 by jamesdmccaffrey

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 →

Posted in Keras, PAW | 1 Comment