[GigaCourse.com] Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs

Other

Size

4.4 GB

Seeders

Leechers

Files

Category

Other

Added

03/29/20 at 9:31pm GMT+1

Status

Verified by VeriPLUS

Infohash

842db165f2ae0038f4553d6fec45d10a155838be

Direct link Torrent file Download now

Description

Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs

Description

This is one of the most exciting courses I’ve done and it really shows how fast and how far deep learning has come over the years.

When I first started my deep learning series, I didn’t ever consider that I’d make two courses on convolutional neural networks.

I think what you’ll find is that, this course is so entirely different from the previous one, you will be impressed at just how much material we have to cover.

Let me give you a quick rundown of what this course is all about:

We’re going to bridge the gap between the basic CNN architecture you already know and love, to modern, novel architectures such as VGG, ResNet, and Inception (named after the movie which by the way, is also great!)

We’re going to apply these to images of blood cells, and create a system that is a better medical expert than either you or I. This brings up a fascinating idea: that the doctors of the future are not humans, but robots.

In this course, you’ll see how we can turn a CNN into an object detection system, that not only classifies images but can locate each object in an image and predict its label.

You can imagine that such a task is a basic prerequisite for self-driving vehicles. (It must be able to detect cars, pedestrians, bicycles, traffic lights, etc. in real-time)

We’ll be looking at a state-of-the-art algorithm called SSD which is both faster and more accurate than its predecessors.

Another very popular computer vision task that makes use of CNNs is called neural style transfer.

This is where you take one image called the content image, and another image called the style image, and you combine these to make an entirely new image, that is as if you hired a painter to paint the content of the first image with the style of the other. Unlike a human painter, this can be done in a matter of seconds.

I will also introduce you to the now-famous GAN architecture (Generative Adversarial Networks), where you will learn some of the technology behind how neural networks are used to generate state-of-the-art, photo-realistic images.

Currently, we also implement object localization, which is an essential first step toward implementing a full object detection system.

I hope you’re excited to learn about these advanced applications of CNNs, I’ll see you in class!

AWESOME FACTS:

One of the major themes of this course is that we’re moving away from the CNN itself, to systems involving CNNs.
Instead of focusing on the detailed inner workings of CNNs (which we've already done), we'll focus on high-level building blocks. The result? Almost zero math.
Another result? No complicated low-level code such as that written in Tensorflow, Theano, or PyTorch (although some optional exercises may contain them for the very advanced students). Most of the course will be in Keras which means a lot of the tedious, repetitive stuff is written for you.

Suggested Prerequisites:

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

TIPS (for getting through the course):

Watch it at 2x.
Take handwritten notes. This will drastically increase your ability to retain the information.
Write down the equations. If you don't, I guarantee it will just look like gibberish.
Ask lots of questions on the discussion board. The more the better!
Realize that most exercises will take you days or weeks to complete.
Write code yourself, don't just sit there and look at my code.

Created by Lazy Programmer Inc.
Last updated 12/2019
English
English [Auto-generated]

File list

[GigaCourse.com] Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs
1. Introduction/1. Welcome to the Course!.mp4 21.9 MB
1. Introduction/1. Welcome to the Course!.srt 1.8 KB
1. Introduction/2. BONUS Learning Paths.html 2.4 KB
1. Introduction/3. Some Additional Resources!!.html 656 B
1. Introduction/4. This PDF resource will help you a lot!.html 767 B
1. Introduction/4.1 Computer_Vision FAQ.pdf.pdf 1.4 MB
1. Introduction/5. FAQBot!.html 1.8 KB
10. Annex 1 Artificial Neural Networks/1. What is Deep Learning.mp4 31.3 MB
10. Annex 1 Artificial Neural Networks/1. What is Deep Learning.srt 18.1 KB
10. Annex 1 Artificial Neural Networks/2. Plan of Attack.mp4 4.8 MB
10. Annex 1 Artificial Neural Networks/2. Plan of Attack.srt 4 KB
10. Annex 1 Artificial Neural Networks/3. The Neuron.mp4 29.6 MB
10. Annex 1 Artificial Neural Networks/3. The Neuron.srt 24.9 KB
10. Annex 1 Artificial Neural Networks/4. The Activation Function.mp4 14.8 MB
10. Annex 1 Artificial Neural Networks/4. The Activation Function.srt 12 KB
10. Annex 1 Artificial Neural Networks/5. How do Neural Networks work.mp4 23.5 MB
10. Annex 1 Artificial Neural Networks/5. How do Neural Networks work.srt 19.1 KB
10. Annex 1 Artificial Neural Networks/6. How do Neural Networks learn.mp4 26.6 MB
10. Annex 1 Artificial Neural Networks/6. How do Neural Networks learn.srt 18.9 KB
10. Annex 1 Artificial Neural Networks/7. Gradient Descent.mp4 18.5 MB
10. Annex 1 Artificial Neural Networks/7. Gradient Descent.srt 14 KB
10. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent.mp4 16.8 MB
10. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent.srt 12.1 KB
10. Annex 1 Artificial Neural Networks/9. Backpropagation.mp4 10.9 MB
10. Annex 1 Artificial Neural Networks/9. Backpropagation.srt 7.1 KB
11. Annex 2 Convolutional Neural Networks/1. Plan of Attack.mp4 5.9 MB
11. Annex 2 Convolutional Neural Networks/1. Plan of Attack.srt 5.2 KB
11. Annex 2 Convolutional Neural Networks/2. What are convolutional neural networks.mp4 29.5 MB
11. Annex 2 Convolutional Neural Networks/2. What are convolutional neural networks.srt 22.1 KB
11. Annex 2 Convolutional Neural Networks/3. Step 1 - Convolution Operation.mp4 31 MB
11. Annex 2 Convolutional Neural Networks/3. Step 1 - Convolution Operation.srt 23.2 KB
11. Annex 2 Convolutional Neural Networks/4. Step 1(b) - ReLU Layer.mp4 14.1 MB
11. Annex 2 Convolutional Neural Networks/4. Step 1(b) - ReLU Layer.srt 9.2 KB
11. Annex 2 Convolutional Neural Networks/5. Step 2 - Pooling.mp4 40.3 MB
11. Annex 2 Convolutional Neural Networks/5. Step 2 - Pooling.srt 21 KB
11. Annex 2 Convolutional Neural Networks/6. Step 3 - Flattening.mp4 3.3 MB
11. Annex 2 Convolutional Neural Networks/6. Step 3 - Flattening.srt 2.5 KB
11. Annex 2 Convolutional Neural Networks/7. Step 4 - Full Connection.mp4 42.8 MB
11. Annex 2 Convolutional Neural Networks/7. Step 4 - Full Connection.srt 28.6 KB
11. Annex 2 Convolutional Neural Networks/8. Summary.mp4 7.9 MB
11. Annex 2 Convolutional Neural Networks/8. Summary.srt 6 KB
11. Annex 2 Convolutional Neural Networks/9. Softmax & Cross-Entropy.mp4 33.2 MB
11. Annex 2 Convolutional Neural Networks/9. Softmax & Cross-Entropy.srt 25.3 KB
12. Bonus Lectures/1. YOUR SPECIAL BONUS.html 1.1 KB
2. Module 1 - Face Detection Intuition/1. Plan of attack.mp4 2.3 MB
2. Module 1 - Face Detection Intuition/1. Plan of attack.srt 2 KB
2. Module 1 - Face Detection Intuition/2. Updates on Udemy Reviews.mp4 43.6 MB
2. Module 1 - Face Detection Intuition/2. Updates on Udemy Reviews.srt 3.3 KB
2. Module 1 - Face Detection Intuition/3. Viola-Jones Algorithm.mp4 18.6 MB
2. Module 1 - Face Detection Intuition/3. Viola-Jones Algorithm.srt 15.3 KB
2. Module 1 - Face Detection Intuition/4. Haar-like Features.mp4 30.6 MB
2. Module 1 - Face Detection Intuition/4. Haar-like Features.srt 21.1 KB
2. Module 1 - Face Detection Intuition/5. Integral Image.mp4 20.4 MB
2. Module 1 - Face Detection Intuition/5. Integral Image.srt 14.7 KB
2. Module 1 - Face Detection Intuition/6. Training Classifiers.mp4 20.9 MB
2. Module 1 - Face Detection Intuition/6. Training Classifiers.srt 15.8 KB
2. Module 1 - Face Detection Intuition/7. Adaptive Boosting (Adaboost).mp4 28.9 MB
2. Module 1 - Face Detection Intuition/7. Adaptive Boosting (Adaboost).srt 21.6 KB
2. Module 1 - Face Detection Intuition/8. Cascading.mp4 12.1 MB
2. Module 1 - Face Detection Intuition/8. Cascading.srt 9.2 KB
2. Module 1 - Face Detection Intuition/9. Face Detection Intuition.html 129 B
3. Module 1 - Face Detection with OpenCV/1. Welcome to the Practical Applications.mp4 15.7 MB
3. Module 1 - Face Detection with OpenCV/1. Welcome to the Practical Applications.srt 8.1 KB
3. Module 1 - Face Detection with OpenCV/10. Face Detection with OpenCV.html 129 B
3. Module 1 - Face Detection with OpenCV/2. Installations Instructions (once and for all!).mp4 34.4 MB
3. Module 1 - Face Detection with OpenCV/2. Installations Instructions (once and for all!).srt 22.1 KB
3. Module 1 - Face Detection with OpenCV/3. Common Debug Tips.html 308 B
3. Module 1 - Face Detection with OpenCV/3.1 Debug Solutions.pdf.pdf 127.8 KB
3. Module 1 - Face Detection with OpenCV/4. Face Detection - Step 1.mp4 11.8 MB
3. Module 1 - Face Detection with OpenCV/4. Face Detection - Step 1.srt 9.9 KB
3. Module 1 - Face Detection with OpenCV/5. Face Detection - Step 2.mp4 9.5 MB
3. Module 1 - Face Detection with OpenCV/5. Face Detection - Step 2.srt 7.7 KB
3. Module 1 - Face Detection with OpenCV/6. Face Detection - Step 3.mp4 6.9 MB
3. Module 1 - Face Detection with OpenCV/6. Face Detection - Step 3.srt 5.1 KB
3. Module 1 - Face Detection with OpenCV/7. Face Detection - Step 4.mp4 9.7 MB
3. Module 1 - Face Detection with OpenCV/7. Face Detection - Step 4.srt 6.9 KB
3. Module 1 - Face Detection with OpenCV/8. Face Detection - Step 5.mp4 9.3 MB
3. Module 1 - Face Detection with OpenCV/8. Face Detection - Step 5.srt 6.8 KB
3. Module 1 - Face Detection with OpenCV/9. Face Detection - Step 6.mp4 24.4 MB
3. Module 1 - Face Detection with OpenCV/9. Face Detection - Step 6.srt 14.9 KB
4. Homework Challenge - Build a Happiness Detector/1. Homework Challenge - Instructions.html 1.3 KB
4. Homework Challenge - Build a Happiness Detector/2. Homework Challenge - Solution (Video).mp4 49.8 MB
4. Homework Challenge - Build a Happiness Detector/2. Homework Challenge - Solution (Video).srt 27 KB
4. Homework Challenge - Build a Happiness Detector/3. Homework Challenge - Solution (Code files).html 127 B
4. Homework Challenge - Build a Happiness Detector/3.1 Homework.zip.zip 216.8 KB
5. Module 2 - Object Detection Intuition/1. Plan of attack.mp4 3.5 MB
5. Module 2 - Object Detection Intuition/1. Plan of attack.srt 2.8 KB
5. Module 2 - Object Detection Intuition/2. How SSD is different.mp4 23.8 MB
5. Module 2 - Object Detection Intuition/2. How SSD is different.srt 12.5 KB
5. Module 2 - Object Detection Intuition/3. The Multi-Box Concept.mp4 27 MB
5. Module 2 - Object Detection Intuition/3. The Multi-Box Concept.srt 14.6 KB
5. Module 2 - Object Detection Intuition/4. Predicting Object Positions.mp4 25.3 MB
5. Module 2 - Object Detection Intuition/4. Predicting Object Positions.srt 14 KB
5. Module 2 - Object Detection Intuition/5. The Scale Problem.mp4 26.8 MB
5. Module 2 - Object Detection Intuition/5. The Scale Problem.srt 17.3 KB
5. Module 2 - Object Detection Intuition/6. Object Detection Intuition.html 129 B
6. Module 2 - Object Detection with SSD/1. Object Detection - Step 1.mp4 36 MB
6. Module 2 - Object Detection with SSD/1. Object Detection - Step 1.srt 13.5 KB
6. Module 2 - Object Detection with SSD/10. Object Detection - Step 10.mp4 49.2 MB

Rating

Not rated yet

Comments

No comments yet.

Similar torrents

Name	Size	Date
Udemy - Modern Computer Vision and Deep Learning with Python and PyTorch Verified in Other	3.6 GB	07/27/23	2	1
Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs Verified in Other	10.8 GB	06/11/19	1	2
[FreeCourseSite.com] Udemy - Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs Verified in Other	11.1 GB	05/08/20	1	1
[FreeCourseSite com] Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs Verified in eBooks	4.3 GB	07/07/18	0	0
[DesireCourse.Com] Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs Verified in Other	4.7 GB	12/18/18	0	1
[FreeTutorials.Eu] Udemy - Python for Computer Vision with OpenCV and Deep Learning in Other	5.7 GB	12/21/18	0	1
[FreeCourseSite.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning in Other	5.7 GB	01/03/19	0	1
[FreeCourseLab.com] Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs Verified in Other	4.4 GB	01/28/19	0	1
[UdemyCourseDownloader] Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs Verified in Other	11 GB	06/07/19	0	1
[FreeCourseSite.com] Udemy - Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs in Other	11.1 GB	07/17/19	0	0
[FreeCourseLab com] Udemy - Python for Computer Vision with OpenCV and Deep Learning in eBooks	5.7 GB	08/21/19	0	0
Udemy - Deep Learning for Computer Vision with Tensor Flow and Keras Verified in eBooks	5 GB	02/28/20	0	1
Udemy - Deep Learning for Computer Vision with Tensor Flow and Keras Verified in Other	5 GB	03/02/20	0	1
Udemy - Deep Learning - Advanced Computer Vision (GANs, SSD, + More!) Verified in Other	2.2 GB	05/25/20	0	1
[FreeAllCourse.Com] Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!) Verified in Other	2.4 GB	05/27/20	0	1