In this blog post I explain how to create a DataGenerator with a one-hot encoder to encode your labels in the same way for every batch. Some months ago, I tried training a text generator on a huge corpus of text with an LSTM model. Basically, it’s a model that…
What’s really cool is that Keras in R now has an interface to AI Platform (fka Cloud ML) in Google Cloud Platform. You do some trial-and-error on your computer and once you’re good to go, you can submit your job with a couple lines of code. Just to be clear:…
If you too like Keras and RStudio, you’re probably curious how you can hypertune a model. Here goes. If you’ve paid attention in the previous part, you noticed that I didn’t do any hypertuning at all to tweak the performance of the car price prediction model. I tackle these questions…
In this blog post I will introduce you to building and training your own neural network algorithm in R through Keras & TensorFlow. If you haven’t installed Keras for R yet, please follow the instructions explained in part 1. I have explicitly chosen to work with structured data in this…
For analysis, I prefer R over Python too. Last year, Tensorflow and Keras were released for R. So why not give it a try? Here’s how to proceed. Installation First step, (1) installing the Anaconda (or Miniconda) distribution on you machine. If you’re not too fond of a bloated Anaconda…