Udemy – Deep Learning: Advanced Computer Vision (GANs, SSD, +More!) 2020-5

Description

Deep Learning: Advanced Computer Vision is the name of a set of video tutorials in the field of data analysis and in the field of deep learning. In fact, you will gain an excellent understanding of computer vision and artificial neural networks by observing the training provided in this training course. In this course you will learn how to turn a CNN into an object recognition system. The recognition system is able to categorize images and any object. In fact, you will encounter an advanced algorithm called SSD to implement such a system.

Of course, to watch this course, you must know enough about how to build and use CNN with the help of Python libraries. In fact, by watching this video course, you will take your knowledge and information in the field of deep learning and computer vision to a new level. You will also learn to use convulsive neural networks such as VGG, ResNet and Inception with this training course.

Items that are taught in this course

Learning and how to transfer in deep learning (Deep Learning)

Understand and use convolutional neural networks

Understand and use object detection algorithms such as SSD

Understand and apply neural network transmission

Learn and understand advanced topics on the computer

Course information

English language

Duration: 10:05:11

Number of courses: 92

Level of education: intermediate to advanced

Instructor: Lazy Programmer Inc.

File format: mp4

Deep Learning Course Topics: Advanced Computer Vision

Course content 92 lectures 10:05:11

Welcome 3 lectures 12:37

Review 4 lectures 23:29

VGG and Transfer Learning 9 lectures 41:20

ResNet (and Inception) 16 lectures 01:06:45

Object Detection (SSD / RetinaNet) 14 lectures 01:16:41

Neural Style Transfer 7 lectures 43:27

Class Activation Maps 2 lectures 17:03

GANs (Generative Adversarial Networks) 3 lectures 28:01

Object Localization Project 16 lectures 01:50:31

Basics Review 6 lectures 36:50

Appendix / FAQ 12 lectures 02:28:26

Prerequisite

Know how to build, train, and use a CNN using some library (preferably in Python)

Understand basic theoretical concepts behind convolution and neural networks

Decent Python coding skills, preferably in data science and the Numpy Stack

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Changes:

The 2019/8 version has increased in size by about 200 MB compared to the 2018/11 version. No other information of the changes is available.

Version 2020/5 has increased by at least 4 lessons and 25 minutes compared to 2019/8. It has also increased in size by about 700 MB.