Category Archives: Keras

Banknote Authentication Example Using Keras

Posted on September 3, 2021 by jamesdmccaffrey

I recently upgraded my Keras library installation to version 2.6 and so I’ve been revisiting my three basic examples: Iris Dataset (multi-class classification), Boston Housing (regression), and Banknote Authentication (binary classification). In older versions of Keras, you would install the … Continue reading →

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Computing Model Accuracy for Keras Regression Models

Posted on September 1, 2021 by jamesdmccaffrey

I recently upgraded my Keras neural network code library version to 2.6.0 and decided to revisit my three basic examples — Iris (multi-class classification), Banknote (binary classification), and Boston (regression). This morning I refactored my Boston example. Even though it … Continue reading →

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Installing Keras 2.6 on Windows and Running the Iris Example

Posted on August 26, 2021 by jamesdmccaffrey

One of the biggest challenges in machine learning is staying up to date with new releases of code libraries. I noticed that Keras released a new version 2.6 a few days ago so I figured I’d do a complete end-to-end … Continue reading →

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Converting MNIST Binary Files to Text Files

Posted on March 15, 2021 by jamesdmccaffrey

PyTorch and Keras/TensorFlow have built-in ways to load the MNIST dataset into memory, but in many situations you just want MNIST data as simple text files. Source MNIST data files are in a proprietary binary format, so if you want … Continue reading →

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Installing Keras on Windows – January 2021

Posted on January 27, 2021 by jamesdmccaffrey

I’m a big fan of both the Keras and PyTorch neural network libraries. I tend to use one library for several months, and then switch to the other for several months, depending on the project I’m working on. It’s possible, … Continue reading →

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Installing TensorFlow 2.1.0 with Keras 2.2.4 for CPU on Windows 10 with Anaconda 5.2.0 for Python 3.6.5

Posted on April 6, 2020 by jamesdmccaffrey

Installing TensorFlow (which contains Keras) is a minor software nightmare — due mostly to version incompatibilities with the over 500 packages and over 50,000 files involved. I spent several days exploring exactly how to install TensorFlow with Keras on Windows … Continue reading →

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I Give a Talk on Binary Classification Using Keras

Posted on April 17, 2019 by jamesdmccaffrey

I recently gave a short workshop/talk at the tech company I work for on binary classification using the Keras neural network code library. The goal of a binary classification problem is to predict something that can take on one of … Continue reading →

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Neural Anomaly Detection Using Keras

Posted on March 7, 2019 by jamesdmccaffrey

I wrote an article titled “Neural Anomaly Detection Using Keras” in the March 2019 issue of Visual Studio Magazine. See https://visualstudiomagazine.com/articles/2019/03/01/neural-anomaly-detection-using-keras.aspx. Anomaly detection, also called outlier detection, is the process of finding rare items in a dataset. Examples include finding … Continue reading →

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Image Classification Using Keras

Posted on January 17, 2019 by jamesdmccaffrey

I wrote an article titled “Image Classification Using Keras” in the December 2018 issue of Visual Studio Magazine. See https://visualstudiomagazine.com/articles/2018/12/01/image-classification-keras.aspx. Keras is a neural network library. Keras actually is a layer of abstraction on top of the TensorFlow library. The … Continue reading →

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Neural Network Library Training Algorithms

Posted on November 19, 2018 by jamesdmccaffrey

For people who are new to neural network libraries such as Keras, CNTK, PyTorch, and TensorFlow, selecting a training algorithm can be a bit confusing. All the libraries support the five main algorithms: stochastic gradient descent (SGD), Adagrad, Adadelta, Adam, … Continue reading →

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