Category Archives: Conferences

MNIST Image Classification Using Keras 2.8 on Windows 11

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

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MNIST Image Classification Using PyTorch 1.10 on Windows 11

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

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Regression (Employee Income) Using Keras 2.8 on Windows 11

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

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Regression (Employee Income) Using PyTorch 1.10 on Windows 11

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

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

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Logistic Regression for the Banknote Problem Using Raw Python

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

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Autoencoder Anomaly Detection Using PyTorch 1.10 on Windows 11

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

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Naive Bayes Classification Example Using Raw Python 3.7

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

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

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

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Installing Keras 2.8.0 on Windows 10/11

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

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