This NLP Zero to Hero course by TensorFlow is a beginner-focused introduction to natural language processing using deep learning techniques. It is designed to help learners understand how machines process and analyze human language from the ground up.
The course starts with tokenization, which is the process of breaking text into smaller units such as words or tokens. You will then learn sequencing, where text is converted into numerical data that machine learning models can understand.
A key part of the course is building a sentiment analysis model, where you train a neural network to classify text based on emotions or opinions. This introduces the practical application of NLP in real-world systems like reviews and social media analysis.
The course also explores recurrent neural networks (RNNs), which are essential for handling sequential text data. You will learn about Long Short-Term Memory (LSTM) networks, a powerful type of RNN used to capture long-term dependencies in language.
Finally, the course includes a creative project where you train an AI model to generate poetry, demonstrating how NLP models can be used for text generation tasks.
By the end of this course, you will have a solid understanding of NLP fundamentals and be able to build basic text-based AI models using TensorFlow.
