Transfer learning starting point

In this exercise you will see the benefit of using pre-trained vectors as a starting point for your model.

You will compare the accuracy of two models trained with two epochs. The architecture of the models is the same: One embedding layer, one LSTM layer with 128 units and the output layer with 5 units which is the number of classes in the sample data. The difference is that one model uses pre-trained vectors on the embedding layer (transfer learning) and the other doesn't.

The pre-trained vectors used were the GloVE with 200 dimension. The training accuracy history of the validation set of both models are available in the variables history_no_emb and history_emb.

Import module matplotlib.pyplot as plt.
Add the list of accuracy from the model without embeddings to the plot.
Add the list of accuracy from the model with embeddings to the plot.
Display the plot using the method .show().

Exercise

Transfer learning starting point

Instructions