Instruction: Demonstrate how to implement a deep learning model using the keras package in R.
Context: This question tests the candidate's understanding of deep learning concepts and their ability to implement these models in R using keras.
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First, let's clarify what we mean by implementing a deep learning model in this context. We're looking at the process of designing the architecture of a neural network model, compiling it with a specific loss function and optimizer, and then fitting it to our data for training. The keras package in R provides a versatile and powerful framework that interfaces with the Keras library in Python, offering us the tools needed to achieve this seamlessly.
To begin with, we need to ensure that the keras package is installed and loaded in our R environment. If it's not already installed, we can install it directly from CRAN....