Let me know whether this works for you as well or not.Īnd, someone please let me know the correct way to share a project. This will provide you with default CPU-based installations of Keras and TensorFlow.Īnyway, I noted that I succeeded to run the same code (which failed before installing keras). To install both the core Keras library as well as the TensorFlow backend use the install_keras() function: library(keras) The Keras R interface uses the TensorFlow backend engine by default. When one installs keras, loads it and run install_keras(), which will do the following as per this documentation: I got curious and noted that in all the previous projects (where I succeeded), I've installed keras there.
I was trying to open a new project by myself, and failed.
Why? I just tried once again in the project that I derived from yours, and failed. Is it possible that somehow, your whole Rstudio cloud account has something different from the others?
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