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TORRENT DETAILS

[Tutorialsplanet.NET] Udemy - Master Computer Vision™ OpenCV4 In Python With Deep Learning

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	e8011635f26bb61bdc3daf9ea38ba2ad6248ba67
Size:	4 GB in 99 files
Release Date(s):	Torrent Release: 05-11-2019 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

Udemy - Master Computer Vision™ OpenCV4 In Python With Deep Learning [TP]

Learn OpenCV4, Dlib, Keras, TensorFlow & Caffe while completing over 21 projects such as classifiers, detectors & more!

For more Udemy Courses: https://tutorialsplanet.net

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FILE LIST

Filename		Size
	1. Course Introduction and Setup/1. Introduction.mp4	11.7 MB
	1. Course Introduction and Setup/1. Introduction.vtt	2.6 KB
	1. Course Introduction and Setup/2. Introduction to Computer Vision and OpenCV.mp4	7.2 MB
	1. Course Introduction and Setup/2. Introduction to Computer Vision and OpenCV.vtt	4.1 KB
	1. Course Introduction and Setup/3. About this course.mp4	10.3 MB
	1. Course Introduction and Setup/3. About this course.vtt	7.1 KB
	1. Course Introduction and Setup/4. READ THIS - Guide to installing and setting up your OpenCV4.0.1 Virtual Machine.html	2.6 KB
	1. Course Introduction and Setup/4.1 Download your OpenCV4 Virtual Machine HERE!.html	143 B
	1. Course Introduction and Setup/5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.mp4	37.6 MB
	1. Course Introduction and Setup/5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.vtt	5.3 KB
	1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz	116.1 MB
	1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.mp4	23.9 MB
	1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.vtt	11.1 KB
	1. Course Introduction and Setup/6.1 Windows OpenCV Installation.pdf.pdf	23.5 KB
	1. Course Introduction and Setup/7. Installation of OpenCV & Python on Mac.html	4.2 KB
	1. Course Introduction and Setup/7.1 Guide to troubleshooting Issues with Mac installs.html	148 B
	1. Course Introduction and Setup/8. Installation of OpenCV & Python on Linux.html	3.8 KB
	1. Course Introduction and Setup/9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.mp4	4.6 MB
	1. Course Introduction and Setup/9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.vtt	2.1 KB
	1. Course Introduction and Setup/9.1 MasteringComputerVision_V1.03.zip.zip	127.5 MB
	10. Computational Photography & Make a License Plate Reader/1. Mini Project # 12 - Photo-Restoration.mp4	14.7 MB
	10. Computational Photography & Make a License Plate Reader/1. Mini Project # 12 - Photo-Restoration.vtt	8.2 KB
	10. Computational Photography & Make a License Plate Reader/2. Mini Project # 13 - Automatic Number-Plate Recognition (ALPR).html	861 B
	10. Computational Photography & Make a License Plate Reader/2.1 Lecture11.1 Automatic Number-Plate Recognition.zip.zip	23.8 KB
	11. Conclusion/1. Course Summary and how to become an Expert.mp4	4.2 MB
	11. Conclusion/1. Course Summary and how to become an Expert.vtt	4 KB
	11. Conclusion/1.1 ResearchPapersandURLS.pdf.pdf	96.7 KB
	11. Conclusion/2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.mp4	15.7 MB
	11. Conclusion/2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.vtt	9.4 KB
	12/1. Setup your Deep Learning Virtual Machine.mp4	77.4 MB
	12/1. Setup your Deep Learning Virtual Machine.vtt	12.4 KB
	12/1.1 DeepLearningCV_MOCV.tar.gz.gz	135.4 MB
	12/1.2 Download VirtualBox.html	102 B
	12/1.3 Deep Learning Computer Vision OCV.pdf.pdf	26.6 MB
	12/1.4 Download Your Deep Learning Virtual Machine HERE.html	127 B
	12/2. Intro to Handwritten Digit Classification (MNIST).mp4	67.3 MB
	12/2. Intro to Handwritten Digit Classification (MNIST).vtt	7 KB
	12/3. Intro to Multiple Image Classification (CIFAR10).mp4	27.3 MB
	12/3. Intro to Multiple Image Classification (CIFAR10).vtt	3.8 KB
	13/1. Neural Networks Chapter Overview.mp4	7.8 MB
	13/1. Neural Networks Chapter Overview.vtt	1.9 KB
	13/10. Epochs, Iterations and Batch Sizes.mp4	26.1 MB
	13/10. Epochs, Iterations and Batch Sizes.vtt	4.3 KB
	13/11. Measuring Performance and the Confusion Matrix.mp4	52.1 MB
	13/11. Measuring Performance and the Confusion Matrix.vtt	8.6 KB
	13/12. Review and Best Practices.mp4	27.1 MB
	13/12. Review and Best Practices.vtt	5.1 KB
	13/2. Machine Learning Overview.mp4	52.3 MB
	13/2. Machine Learning Overview.vtt	52.3 MB
	13/3. Neural Networks Explained.mp4	23.4 MB
	13/3. Neural Networks Explained.vtt	4.7 KB
	13/4. Forward Propagation.mp4	63.3 MB
	13/4. Forward Propagation.vtt	9.9 KB
	13/5. Activation Functions.mp4	59.7 MB
	13/5. Activation Functions.vtt	10.2 KB
	13/6. Training Part 1 – Loss Functions.mp4	58.4 MB
	13/6. Training Part 1 – Loss Functions.vtt	10.4 KB
	13/7. Training Part 2 – Backpropagation and Gradient Descent.mp4	72.7 MB
	13/7. Training Part 2 – Backpropagation and Gradient Descent.vtt	11.7 KB
	13/8. Backpropagation & Learning Rates – A Worked Example.mp4	99.9 MB
	13/8. Backpropagation & Learning Rates – A Worked Example.vtt	15.5 KB
	13/9. Regularization, Overfitting, Generalization and Test Datasets.mp4	118.4 MB
	13/9. Regularization, Overfitting, Generalization and Test Datasets.vtt	18.4 KB
	14/1. Convolutional Neural Networks Chapter Overview.mp4	5.1 MB
	14/1. Convolutional Neural Networks Chapter Overview.vtt	1.3 KB
	14/2. Introduction to Convolutional Neural Networks (CNNs).mp4	36.7 MB
	14/2. Introduction to Convolutional Neural Networks (CNNs).vtt	6.4 KB
	14/3. Convolutions & Image Features.mp4	102.4 MB
	14/3. Convolutions & Image Features.vtt	15.4 KB
	14/4. Depth, Stride and Padding.mp4	46.6 MB
	14/4. Depth, Stride and Padding.vtt	8.2 KB
	14/5. ReLU.mp4	10.9 MB
	14/5. ReLU.vtt	2.2 KB
	14/6. Pooling.mp4	28.8 MB
	14/6. Pooling.vtt	5.7 KB
	14/7. The Fully Connected Layer.mp4	13.9 MB
	14/7. The Fully Connected Layer.vtt	2.7 KB
	14/8. Training CNNs.mp4	27.1 MB
	14/8. Training CNNs.vtt	3.7 KB
	14/9. Designing Your Own CNN.mp4	24.3 MB
	14/9. Designing Your Own CNN.vtt	4.8 KB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/1. Introduction to Keras & Tensorflow.mp4	5.6 MB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/1. Introduction to Keras & Tensorflow.vtt	1.2 KB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/10. Saving and Loading Your Model.mp4	29.5 MB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/10. Saving and Loading Your Model.vtt	3.9 KB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/11. Displaying Your Model Visually.mp4	25.5 MB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/11. Displaying Your Model Visually.vtt	3.8 KB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp4	73.7 MB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.vtt	15.8 KB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.mp4	11.1 MB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.vtt	2.2 KB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/4. Loading Our Data.mp4	52.9 MB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/4. Loading Our Data.vtt	7.5 KB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/5. Getting our data in ‘Shape’.mp4	33.8 MB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/5. Getting our data in ‘Shape’.vtt	5.2 KB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/6. Hot One Encoding.mp4	18.2 MB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/6. Hot One Encoding.vtt	3.5 KB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/7. Building & Compiling Our Model.mp4	36.2 MB
	15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/7. Building & Compiling Our Model.vtt	4.8 KB

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