Category Archives: Conferences

Recap of the 2022 Predictive Analytics World Conference

I presented a talk titled “Neural Exotica: Beyond Basic Architectures” at the 2022 Predictive Analytics World conference. The event ran June 19-24 and was in Las Vegas. The Predictive Analytics World (PAW) conference was co-located with the Machine Learning Week … Continue reading

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Recap of the 2022 Machine Learning Week Conference

I presented a workshop titled “Deep Learning in Practice: A Hands-On Introduction” at the 2022 Machine Learning Week conference. The event ran June 19-24 and was in Las Vegas. Machine Learning Week is co-located with the Predictive Analytics World conference. … Continue reading

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Installing Keras 2.8 on a MacBook Laptop

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

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Recap of the Spring 2022 MLADS Conference

I gave a short informal talk at the Spring 2022 Machine Learning Artificial Intelligence and Data Science (MLADS) conference. The MLADS conference is an internal event at the large tech company I work for, and so the conference wasn’t open … Continue reading

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IMDB Sentiment Classification Using Keras 2.8 on Windows 11

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

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IMDB Sentiment Classification Using PyTorch 1.10 on Windows 11

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

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Installing PyTorch 1.10.0 on a MacBook Laptop

I most often use Windows OS machines but I sometimes use Mac and Linux machines too. It had been several months since I had used the PyTorch neural network library on a Mac machine so one weekend I figured I’d … Continue reading

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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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