Python Deep Learning Projects (Part 2: Natural Language Processing)
In Part 2 of this guided lab by Next.Tech, you will learn the common approaches and technologies associated in natural language processing, and how to utilize them with the Python programming language and Tensor flow to build models like NLP pipelines.
Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier.
The Python Deep Learning Projects series imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. By the end of this series, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way.
In this second part of the series, we will explore the field of computational linguistics and natural language processing (NLP). You will learn: Word representation using word2vec, Building NLP pipelines, Sequence-to-sequence models, Generative language models for text, lyric, and music creation.
Prerequisites
- Python programming
- An understanding of neural network theory
- Completion of Python Deep Learning Projects (The Fundamentals) recommended
Complete this entire course to earn a Python Deep Learning Projects (Part 2: Natural Language Processing) Certificate of Completion
