Multi-Layer Perceptron (MLP)/Deep Neural Networks (DNN)

Last time, we briefly introduced MNIST, and provided some performance metrics of the SLP model on classifying the digits. A subset of MNIST characters and their associated labels While I was pleasantly (and perhaps naively) surprised as to how well the SLP performed, the classification accuracy achieved (around 86%) is considered unthinkable, maybe even borderline… Continue Reading →

Intro and Single-Layer Perceptron (SLP)

The purpose of this blog is to document my journey into deep learning. Some background on myself: Engineer by training with specific interests in mechanical design, sensors, actuators, robotics, and embedded systems. After getting my Ph.D, I found that I actually had free time on weeknights and weekends, and I decided I wanted to do... Continue Reading →

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