Developing deep neural networks

Although we won't be developing a classification model based on just five tweets, let's look at the code for our model's architecture:

model <- keras_model_sequential()
model %>% layer_embedding(input_dim = 10, 
                          output_dim = 8, 
                          input_length = 5) 
summary(model)

OUTPUT
__________________________________________________________________________________
Layer (type)                        Output Shape                     Param #      
==================================================================================
embedding_1 (Embedding)             (None, 5, 8)                     80           
==================================================================================
Total params: 80
Trainable params: 80
Non-trainable params: 0
________________________________________________________________________________...