Description
Deep Learning for Natural Language Processing Course, 2nd Edition. Deep Learning for Natural Language Processing LiveLessons, Second Edition, is an introduction to building natural language models with deep learning. These lessons bring intuitive explanations of essential theory to life with hands-on, interactive Jupiter Notebook demonstrations. Examples include Python and Keras, the high-level API for TensorFlow 2, the most popular deep learning library. The first few lessons cover the specifics of working with natural language data, including converting natural language into numerical representations that are easily processed by machine learning approaches. Subsequent lessons use advanced deep learning architectures to predict with natural language data. John Crone is a senior data scientist at machine learning company Untapt. He offers a popular series of deep learning tutorials published by Addison-Wesley and is the author of the best-selling book Deep Learning Illustrated. John teaches his deep learning curriculum in the classroom at the New York City Data Science Academy and as a guest lecturer at Columbia University and New York University. He holds a PhD in neuroscience from the University of Oxford and has been publishing in leading machine learning journals since 2010.
What you will learn in the 2nd Edition Deep Learning for Natural Language Processing course
- Preprocessing natural language data for use in machine learning applications
- Convert natural language into numerical representations with word2vec
- Make predictions with deep learning models trained on natural language
- Apply advanced NLP approaches with Keras, the high-level API for TensorFlow 2.
- Improve the performance of the deep learning model by selecting the appropriate model architecture and optimizing the model metaparameters.
This course is suitable for people who
Code examples are provided in Python, so it would be helpful to be familiar with this or another object-oriented programming language.
Course Specifications for Deep Learning for Natural Language Processing, 2nd Edition
- Editor: Oreilly
- Teacher: John Krohn
- Education level: Intermediate
- Training duration: 4 hours and 59 minutes
- Number of courses: 5
Course headings
Course requirements
- Prerequisites are the author’s knowledge of deep learning with TensorFlow, Keras and PyTorch LiveLessons or familiarity with the topics covered in chapters 5 to 9 of his book Deep Learning Illustrated.
Course pictures
Sample video of the course
installation Guide
After extracting, you can watch it with your favorite player.
English subtitles
Quality: 720p
Download link
File(s) password: free download software
File size
1.7GB