Description
Natural Language Processing with Deep Learning in Python published by Udemy Academy. A complete guide to exploring and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recurrent networks.
In this course, we will explore NLP (Natural Language Processing) with deep learning. Earlier, you learned some basics, like how many NLP problems are just typical machine learning and data science problems, and some simple, practical methods like bag-of-word matrices and Word documents. These allow us to do some very cool things, like identify spam, write poetry, spin articles, and group similar words together. In this course I show you how to do more amazing things. In this course we will learn not only 1, but 4 new architectures.
What you will learn in the Natural Language Processing with Deep Learning in Python course:
- Understand and implement word2vec.
- Understanding the CBOW method in word2vec.
- Understand the skip-gram method in word2vec.
- Understanding negative sampling optimization in word2vec.
- Understand and implement GloVe using gradient descent and alternating least squares.
- Use recurrent neural networks to label parts of speech.
- Use recurrent neural networks to identify the named entity.
- And…
Who should attend :
- Any student who needs to take the Duolingo English test.
- Don’t let the name fool you. This course is also for students who have weeks or months to prepare.
Course Specifications
- Editor: Udemy
- Instructor: Lazy Programmer Inc.
- French language
- Training level: Intermediate
- Number of courses: 100
- Training duration: 12 hours and 49 minutes
Course themes 2022/12
Course prerequisites
Install Numpy, Matplotlib, Sci-Kit Learn and Theano or TensorFlow (should be extremely simple now)
Understand backpropagation and gradient descent, be able to derive and code the equations on your own
Code a recurrent neural network from basic primitives in Theano (or Tensorflow), including the scan function
Code a feedforward neural network in Theano (or Tensorflow)
It helps to have experience with tree algorithms
Pictures
Introductory video to Natural Language Processing with Deep Learning in Python
installation guide
After the clip, watch with your favorite reader.
english subtitles
Quality: 720p
Download link
password file(s): free download software
File size
2.40 GB