Description
Deep learning: there are advanced NLP and RNN The name of a series of machine learning and artificial intelligence video tutorials in the deep learning branch. As an advanced course in deep learning, your course addresses complex and specific issues. You will study natural language processing using sequence-to-sequence (seq2seq), attention, CNN, RNN, and network memory in this course. According to the publisher of this course, by watching this course, you will be able to achieve higher level thinking.
By watching this course, you will be able to design a text classification system to detect spam, analyze vulnerabilities and similar problems. You will also learn how to build other systems, such as building memory networks, by watching this course.
Features of Deep Learning: Advanced NLP and RNN
Dear students, by learning this advanced course, you will become familiar with the concept of deep learning and will be able to create artificial intelligence systems using this knowledge. Moreover, 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.
- Level: Advanced
- Duration: 08:01:55
- Number of lessons: 62 lessons
- English Language
Deep Learning: Advanced NLP and RNN
Welcome
4 lectures
14:58
Review
13 Lectures
01:55:19
Bidirectional RNN
6 Lectures
30:46
Sequence-to-sequence model (Seq2Seq)
9 Lectures
52:51
Attention
9 Lectures
01:04:10
Memory Network
6 Lectures
40:45
Basics Review
3 Lectures
17:51
Contract
12 lectures
02:25:15
Prerequisites:
Understand what deep learning is and how it is used
Decent Python coding skills, especially data science tools (Numpy, Matplotlib)
It is better to have experience with RNN, LSTM and GRU
It is better to have experience with Keras
Better understanding of word embeddings
Pictures
Sample movie:
installation Guide
After extract watch it with your favorite player.
This tutorial has English subtitles.
download link
File Password: free download software
size
2.71 GB