Ebook: Deep Learning for Natural Language Processing: Develop Deep Learning Models for your Natural Language Problems
Author: Jason Brownlee
- Genre: Computers // Programming
- Series: Machine Learning Mastery
- Year: 2017
- Publisher: Independently Published
- Edition: 1.1
- Language: English
- pdf
Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from one language to another.
In this new laser-focused Ebook written in the friendly Machine Learning Mastery style that you’re used to, finally cut through the math, research papers and patchwork descriptions about natural language processing.
Using clear explanations, standard Python libraries (Keras and TensorFlow 2) and step-by-step tutorial lessons you will discover what natural language processing is, the promise of deep learning in the field, how to clean and prepare text data for modeling, and how to develop deep learning models for your own natural language processing projects.
In this new laser-focused Ebook written in the friendly Machine Learning Mastery style that you’re used to, finally cut through the math, research papers and patchwork descriptions about natural language processing.
Using clear explanations, standard Python libraries (Keras and TensorFlow 2) and step-by-step tutorial lessons you will discover what natural language processing is, the promise of deep learning in the field, how to clean and prepare text data for modeling, and how to develop deep learning models for your own natural language processing projects.
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