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
Sample movie:
Installation guide
View with your favorite player after ripping.
This tutorial has English subtitles.
Download link
File password(s): ngaur.com
Cut
2.71 GB