Deep Learning Quick Reference

Training

With all the code put together, training can be done in just a few lines, as shown in the following code:

glove_dir = os.path.join(BASE_DIR, 'glove.6B')text_data_dir = os.path.join(BASE_DIR, '20_newsgroup')embeddings_index = load_word_vectors(glove_dir)data = load_data(text_data_dir, vocab_size=20000, sequence_length=1000)data = tokenize_text(data)data = train_val_test_split(data)data["embedding_dim"] = 100data["embedding_matrix"] = embedding_index_to_matrix(embeddings_index=embeddings_index,                                                     vocab_size=data["vocab_size"],                                                     embedding_dim=data["embedding_dim"],                                                     word_index=data["tokenizer"].word_index)callbacks = create_callbacks("newsgroups-pretrained")model = build_model(vocab_size=data["vocab_size"],                    embedding_dim=data['embedding_dim' ...