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Udemy – Deep Learning AZ ™: Hands-On Artificial Neural Networks 2019-7

Udemy - Deep Learning AZ ™: Hands-On Artificial Neural Networks 2019-7

Deep Learning AZ ™: Hands-On Artificial Neural Networks is the name of the Data & Analytics video tutorial series and Deep Learning. The training set for you is a comprehensive training course for learning deep learning algorithms in the field of artificial neural networks. By observing this course, you will have a very good understanding of artificial neural networks. You will also begin to learn the concepts and skills you need in this tutorial by looking at this complete tutorial from elementary to advanced level.

You will need to have high school math information to view this course. Also, to better understand the tutorials of this video course, you need to be familiar with Python programming. Deep learning knowledge has many fans these days and with the help of this knowledge you will be able to solve complex problems ahead of you.

Features of the Deep Learning AZ ™ Course: Hands-On Artificial Neural Networks

Dear students, you will learn from the beginning with deep learning knowledge to advanced level by observing and learning the concepts, techniques and skills presented in this visual collection. You will also be fully acquainted with Artificial Intelligence in this training suite. On the other hand, your distinguished students will have more than 180 training sessions to complete the training sessions.

Course specifications:

  • Publisher: Udemy
  • Teacher: Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team
  • Level: Advanced to advanced
  • Duration: 22:52:46
  • Number of lessons: 188 lessons
  • English language

Deep Learning AZ ™ Headings: Hands-On Artificial Neural Networks

Course content 
188 lectures 22:52:46

Welcome to the course 
8 lectures 27:19

——- Part 1 – Artificial Neural Networks ——- 
1 lecture00: 15

ANN Intuition 
8 lectures 01:17:37

Building an ANN 
14 lectures 01:22:31

Homework Challenge – Should we say goodbye to that customer? 
2 lectures 13:24

Evaluating, Improving and Tuning the ANN 
3 lectures 46:39

Homework Challenge – Put me one step down on the podium 
1 lecture 00:13

——- Part 2 – Convolutional Neural Networks ——- 
1 lecture 00:09

CNN Intuition 
10 lectures 01:40:55

Building a CNN 
13 lectures 01:19:21

Homework – What’s that pet? 
2 lectures 16:40

Evaluating, Improving and Tuning the CNN 
2 lectures at 00:32

——– Part 3 – Recurrent Neural Networks ——– 
1 lecture 00:38

RNN Intuition 
7 lectures 01:11:42

Building a RNN 
17 lectures 02:01:42

Evaluating, Improving and Tuning the RNN 
3 lectures 02:24

——– Part 4 – Self Organizing Maps ——– 
1 lecture 00:10

SOMs Intuition 
10 lectures 01:30:50

Building a SOM 
5 lectures 53:29

Mega Case Study 
4 lectures 30:44

——— Part 5 – Boltzmann Machines ——— 
1 lecture 00:47

Boltzmann Machine Intuition 
8 lectures 01:13:10

Building a Boltzmann Machine 
19 lectures 02:51:16

———- Part 6 – AutoEncoders ———- 
1 lecture 00:32

AutoEncoders Intuition 
10 lectures 39:13

Building an AutoEncoder 
16 lectures 02:19:05

——- Annex – Get the Machine Learning Basics ——- 
1 lecture 00:29

Regression & Classification Intuition 
5 lectures 27:14

Data Preprocessing Template 
7 lectures 01:04:04

Classification Template 
6 lectures 38:42

Bonus lectures 
1 lecture 01:37

prerequisites:

  • High school mathematics level
  • Basic Python programming knowledge

Deep Learning AZ ™ Images: Hands-On Artificial Neural Networks

Deep Learning AZ ™: Hands-On Artificial Neural Networks

Sample movie

Video display00:0001:32

Installation guide

After Extract, see your favorite player.

This tutorial has English subtitles.

Movie quality is 720p.

This tutorial was purchased by download. In case of delay in updating, remind us.

Changes:

The 2019/4 version has been added a lesson and 3 minutes to 2019/3.

The 2019/5 version has been added to the 2019/4 lesson and 1 minute total time.

The 2019/7 edition has increased by 1 lesson and 1 minute, compared to 2019/5.

download link

Download section 1 to 1 GB

Download section 2 to 1 GB

Download Part 3 – 761 MB

Password (s): www.downloadly.ir

Size

2.74 GB

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