LSTMs for Time Series in PyTorch

Jessica YungMachine Learning, UncategorizedLeave a Comment

I can’t believe how long it took me to get an LSTM to work in PyTorch! There are many ways it can fail. Sometimes you get a network that predicts values way too close to zero. In this post, we’re going to walk through implementing an LSTM for time series prediction in PyTorch. We’re going to use pytorch’s nn module … Read More

Explaining TensorFlow code for a Multilayer Perceptron

Jessica YungHighlights, Programming, Self-Driving Car NDLeave a Comment

In this post we go through the code for a multilayer perceptron in TensorFlow. We will use Aymeric Damien’s implementation. I recommend you have a skim before you read this post. I have included the key portions of the code below. 1. Code Here are the relevant network parameters and graph input for context (skim this):

Here is the model … Read More