Posts tagged as Machine_Learning.

  1. ANN Introduction

    I prepared a basic introductory python script for teaching. It shows how a perceptron can be created and how a basic feed-forward two-layer network can be used to learn to approximate the XOR function. I also included code to visualize the decision boundary of the ANNs during training.

    Tagged as: ANNs Machine_Learning
  2. DANNs with Theano

    While ANNs are a fascinating research subject, quickly implementing new algorithms using their concepts is not always easy. Speed matters, and there are many paradigms how ANN theory can be mapped to implementations. Currently working on extending my difference based learning theory introduced in this recent blog post to convolutional …

    Tagged as: ANNs Machine_Learning

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