A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning.

Boost your NLP models with strong deep learning architectures such as CNNs and RNNs. Who this book is for Hands-on Natural Language Processing with Python is for you if you are a developer, machine learning or an NLP engineer who wants to build a deep learning application that leverages NLP techniques

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.

If you’ve picked up this book, you’re probably aware of the exưaordinary progress that deep leam ing has represented for the íìeld of artificial intelligence in the recent past. In a mere fĩve years, we’ve gone from near-unusable image recognition and speech transcription, to superhum an períorm ance on these tasks.