Exploring TensorFlow's Keras API for Natural Language Processing
If you are into Natural Language Processing, then you probably know about TensorFlow's Keras API. Keras API is a high-level neural network API which is easy to use and it runs on top of TensorFlow. In this post, I am going to show you how to use Keras API for Natural Language Processing.
What is Natural Language Processing?
Natural Language Processing (NLP) is a subfield of Artificial Intelligence (AI) which helps machines in understanding human language. NLP is used to perform tasks like Sentiment Analysis, Language Translation, Chatbots, etc.
What is TensorFlow?
TensorFlow is an open-source machine learning library developed by Google Brain Team. TensorFlow is used to develop and train Machine Learning models. TensorFlow excels in Deep Learning and Neural Network models.
What is Keras API?
Keras API is a high-level neural network API which runs on top of TensorFlow. Keras API makes it easy to define, compile, and train deep learning models.
What are the advantages of Keras API for NLP?
- Easy to use.
- Keras API is a high-level API which makes it easy to define, compile, and train deep learning models.
- Keras API comes with many pre-trained deep learning models which can be used for transfer learning.
- Keras API has excellent support for Text Data Processing which makes it a great choice for NLP.
How to use Keras API for NLP?
Here are the steps to use Keras API for NLP:
Step 1: Preprocessing Text Data
The first step is to preprocess the text data. Text Data Preprocessing involves tokenization, lowercasing, and removing stop words.
Step 2: Define the Deep Learning Model
The next step is to define the Deep Learning model. You can use the pre-trained models in Keras API or define your own model.
Step 3: Compile the Model
After defining the model, the next step is to compile the model. You can define the loss function, optimizer, and metrics which will be used during training.
Step 4: Train the Model
The final step is to train the model. You can use the fit method to train the model.
Conclusion
In this post, we explored TensorFlow's Keras API for Natural Language Processing. Keras API is a great choice for NLP as it is easy to use and provides many pre-trained deep learning models. If you are into NLP, then Keras API is a must-learn tool.