Advanced Natural Language Processing and RNNs 2018-11 – Full Version

The description

Deep Learning: Advanced NLP and RNN are the names of a series of video tutorials on machine learning and artificial intelligence in the Deep Learning branch. Your course as an advanced deep learning course addresses complex and specialized issues. In this course, you will study natural language processing using sequence-to-sequence (seq2seq), attention, CNNs, RNNs, and network memory. According to the publisher of this course, you will reach a higher level of thinking by watching this course.

By watching this course, you will be able to design a text classification system to detect spam, analyze weaknesses and similar issues. You will also learn how to build other systems such as building a memory array by watching this course.

Deep Learning Features: Advanced NLP and RNN

Dear students, by learning and learning this advanced course, you will become familiar with the concept of deep learning and will be able to build artificial intelligence systems using this knowledge. In addition, dear students, you will have 62 video tutorials to watch all the sessions and learn the lessons.

Course Specification:

  • Publisher: Udemy
  • Instructor: Lazy Programmer Inc.
  • Advanced level
  • Duration: 08:01:55
  • Number of lessons: 62 lessons
  • English language

Deep Learning: advanced NLP and RNN

Welcome

4 conferences

14:58

Exam

13 conferences

01:55:19

Bidirectional RNNs

6 conferences

30:46

Sequence-to-sequence models (Seq2Seq)

9 conferences

52:51

Attention

9 conferences

01:04:10

Memory networks

6 conferences

40:45

Basics Review

3 conferences

17:51

Annex

12 conferences

02:25:15

preconditions:

Understand what deep learning is for and how it is used

Decent Python coding skills, especially data science tools (Numpy, Matplotlib)

It is preferable to have experience with RNNs, LSTMs and GRUs

Preferable to have experience with Keras

Best to understand word incorporations

Pictures

deep learning

Sample movie:

Installation guide

View with your favorite player after ripping.

This tutorial has English subtitles.

Download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 731 MB

File password(s): ngaur.com

Cut

2.71 GB

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