impact when both are used together? We have four options: none, quantization, clustering, and both. We would need to train a model with each of these four options to make an informed decision. Blessed with

limited by the user’s bandwidth, and the memory available might be limited too. Let’s see what our options are: 1. The embedding table is too large on-disk: We can use a smaller vocabulary, and see if the

5,000 labels and 10,000 steps when compared to the baseline). Now, there can be a few different options available to us, based on what we want: 1. We only care about reaching the accuracy goal of 80%:

(Dense API) with softmax activation (using Activation module) function. Keras also provides options to create our own customized layers. Customized layer can be created by sub-classing the Keras.Layer