Technology Requirements for Deep and Machine Learning

Background The blog author, Rob Farber, has been working on machine learning and related fields as a staff scientist, and participating in relating projects since the 1980s. He is now a global technology consultant and author with an extensive background in high performance computing (HPC) and in developing machine learning technology, which he applies at […]

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Multi-Layer Perceptron Networks in Theano and TensorFlow: An Implementation and Benchmark

A past blog post explored using multi-layer-perceptrons (MLP) to predict stock prices using Tensorflow and Python. This post introduces another common library used for artificial neural networks (ANN) and other numerical purposes: Theano. An MLP Python class is created implemented using Theano, and then the performance of the class is compared with the TFANN class […]

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Stock Market Prediction Using Multi-Layer Perceptrons With TensorFlow

In this post a multi-layer perceptron (MLP) class based on the TensorFlow library is discussed. The class is then applied to the problem of performing stock prediction given historical data. Note: This post is not meant to characterize how stock prediction is actually done; it is intended to demonstrate the TensorFlow library and MLPs. Update: […]

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