Udemy – Deep Learning: Advanced NLP and RNNs 2018-11

Description

Deep Learning: Advanced NLP and RNNs, is the name of a video training package in the field of machine learning and artificial intelligence and in the branch of deep learning (Deep Learning). The course in front of you, as an advanced course in the field of deep learning, deals with complex and specialized issues. In this course you will learn Natural Language Processing using Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs and network memory. According to the publisher of this training course, by observing this training course, you will achieve a higher level of thinking.

By watching this course, you will be able to design a text classification system to detect spam, analyze existing vulnerabilities and similar problems. Also, by watching this training course, you will learn how to build various other systems, such as building a memory network.

Features of Deep Learning: Advanced NLP and RNNs

Dear students, by observing and learning this training course, you will get acquainted with the concept of deep learning in an advanced way, and you will be able to use this science to build systems with the capability of artificial intelligence. Also, dear students, you will have 62 video training sessions in front of you to view all the sessions and learn the tutorials.

Course specifications

Publisher: Udemy

Instructor: Lazy Programmer Inc.

Level: Advanced

Duration: 08:01:55

Number of lessons: 62 lessons

English language

Deep Learning Topics: Advanced NLP and RNNs

Welcome

4 lectures

14:58

Review

13 lectures

01:55:19

Bidirectional RNNs

6 lectures

30:46

Sequence-to-sequence models (Seq2Seq)

9 lectures

52:51

Attention

9 lectures

01:04:10

Memory Networks

6 lectures

40:45

Basics Review

3 lectures

17:51

Appendix

12 lectures

02:25:15

Prerequisites

Understand what deep learning is for and how it is used

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

Preferable to have experience with RNNs, LSTMs, and GRUs

Preferable to have experience with Keras

Preferable to understand word embeddings

Installation

After Extract, watch with your favorite Player.

This tutorial has English subtitles.