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

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[Tutorialsplanet.NET] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning[Tutorialsplanet.NET] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning

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[Tutorialsplanet.NET] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning.torrent
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e8011635f26bb61bdc3daf9ea38ba2ad6248ba67
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4 GB in 99 files
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Uploaded on 05-11-2019 by our crawler pet called "Spidey".
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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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Files in this torrent

FILENAMESIZE
1. Course Introduction and Setup/1. Introduction.mp411.7 MB
1. Course Introduction and Setup/1. Introduction.vtt2.6 KB
1. Course Introduction and Setup/2. Introduction to Computer Vision and OpenCV.mp47.2 MB
1. Course Introduction and Setup/2. Introduction to Computer Vision and OpenCV.vtt4.1 KB
1. Course Introduction and Setup/3. About this course.mp410.3 MB
1. Course Introduction and Setup/3. About this course.vtt7.1 KB
1. Course Introduction and Setup/4. READ THIS - Guide to installing and setting up your OpenCV4.0.1 Virtual Machine.html2.6 KB
1. Course Introduction and Setup/4.1 Download your OpenCV4 Virtual Machine HERE!.html143 B
1. Course Introduction and Setup/5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.mp437.6 MB
1. Course Introduction and Setup/5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.vtt5.3 KB
1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz116.1 MB
1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.mp423.9 MB
1. Course Introduction and Setup/6. Installation of OpenCV & Python on Windows.vtt11.1 KB
1. Course Introduction and Setup/6.1 Windows OpenCV Installation.pdf.pdf23.5 KB
1. Course Introduction and Setup/7. Installation of OpenCV & Python on Mac.html4.2 KB
1. Course Introduction and Setup/7.1 Guide to troubleshooting Issues with Mac installs.html148 B
1. Course Introduction and Setup/8. Installation of OpenCV & Python on Linux.html3.8 KB
1. Course Introduction and Setup/9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.mp44.6 MB
1. Course Introduction and Setup/9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.vtt2.1 KB
1. Course Introduction and Setup/9.1 MasteringComputerVision_V1.03.zip.zip127.5 MB
10. Computational Photography & Make a License Plate Reader/1. Mini Project # 12 - Photo-Restoration.mp414.7 MB
10. Computational Photography & Make a License Plate Reader/1. Mini Project # 12 - Photo-Restoration.vtt8.2 KB
10. Computational Photography & Make a License Plate Reader/2. Mini Project # 13 - Automatic Number-Plate Recognition (ALPR).html861 B
10. Computational Photography & Make a License Plate Reader/2.1 Lecture11.1 Automatic Number-Plate Recognition.zip.zip23.8 KB
11. Conclusion/1. Course Summary and how to become an Expert.mp44.2 MB
11. Conclusion/1. Course Summary and how to become an Expert.vtt4 KB
11. Conclusion/1.1 ResearchPapersandURLS.pdf.pdf96.7 KB
11. Conclusion/2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.mp415.7 MB
11. Conclusion/2. Latest Advances, 12 Startup Ideas & Implementing Computer VIsion in Mobile Apps.vtt9.4 KB
12/1. Setup your Deep Learning Virtual Machine.mp477.4 MB
12/1. Setup your Deep Learning Virtual Machine.vtt12.4 KB
12/1.1 DeepLearningCV_MOCV.tar.gz.gz135.4 MB
12/1.2 Download VirtualBox.html102 B
12/1.3 Deep Learning Computer Vision OCV.pdf.pdf26.6 MB
12/1.4 Download Your Deep Learning Virtual Machine HERE.html127 B
12/2. Intro to Handwritten Digit Classification (MNIST).mp467.3 MB
12/2. Intro to Handwritten Digit Classification (MNIST).vtt7 KB
12/3. Intro to Multiple Image Classification (CIFAR10).mp427.3 MB
12/3. Intro to Multiple Image Classification (CIFAR10).vtt3.8 KB
13/1. Neural Networks Chapter Overview.mp47.8 MB
13/1. Neural Networks Chapter Overview.vtt1.9 KB
13/10. Epochs, Iterations and Batch Sizes.mp426.1 MB
13/10. Epochs, Iterations and Batch Sizes.vtt4.3 KB
13/11. Measuring Performance and the Confusion Matrix.mp452.1 MB
13/11. Measuring Performance and the Confusion Matrix.vtt8.6 KB
13/12. Review and Best Practices.mp427.1 MB
13/12. Review and Best Practices.vtt5.1 KB
13/2. Machine Learning Overview.mp452.3 MB
13/2. Machine Learning Overview.vtt52.3 MB
13/3. Neural Networks Explained.mp423.4 MB
13/3. Neural Networks Explained.vtt4.7 KB
13/4. Forward Propagation.mp463.3 MB
13/4. Forward Propagation.vtt9.9 KB
13/5. Activation Functions.mp459.7 MB
13/5. Activation Functions.vtt10.2 KB
13/6. Training Part 1 – Loss Functions.mp458.4 MB
13/6. Training Part 1 – Loss Functions.vtt10.4 KB
13/7. Training Part 2 – Backpropagation and Gradient Descent.mp472.7 MB
13/7. Training Part 2 – Backpropagation and Gradient Descent.vtt11.7 KB
13/8. Backpropagation & Learning Rates – A Worked Example.mp499.9 MB
13/8. Backpropagation & Learning Rates – A Worked Example.vtt15.5 KB
13/9. Regularization, Overfitting, Generalization and Test Datasets.mp4118.4 MB
13/9. Regularization, Overfitting, Generalization and Test Datasets.vtt18.4 KB
14/1. Convolutional Neural Networks Chapter Overview.mp45.1 MB
14/1. Convolutional Neural Networks Chapter Overview.vtt1.3 KB
14/2. Introduction to Convolutional Neural Networks (CNNs).mp436.7 MB
14/2. Introduction to Convolutional Neural Networks (CNNs).vtt6.4 KB
14/3. Convolutions & Image Features.mp4102.4 MB
14/3. Convolutions & Image Features.vtt15.4 KB
14/4. Depth, Stride and Padding.mp446.6 MB
14/4. Depth, Stride and Padding.vtt8.2 KB
14/5. ReLU.mp410.9 MB
14/5. ReLU.vtt2.2 KB
14/6. Pooling.mp428.8 MB
14/6. Pooling.vtt5.7 KB
14/7. The Fully Connected Layer.mp413.9 MB
14/7. The Fully Connected Layer.vtt2.7 KB
14/8. Training CNNs.mp427.1 MB
14/8. Training CNNs.vtt3.7 KB
14/9. Designing Your Own CNN.mp424.3 MB
14/9. Designing Your Own CNN.vtt4.8 KB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/1. Introduction to Keras & Tensorflow.mp45.6 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/1. Introduction to Keras & Tensorflow.vtt1.2 KB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/10. Saving and Loading Your Model.mp429.5 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/10. Saving and Loading Your Model.vtt3.9 KB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/11. Displaying Your Model Visually.mp425.5 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/11. Displaying Your Model Visually.vtt3.8 KB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp473.7 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.vtt15.8 KB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.mp411.1 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.vtt2.2 KB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/4. Loading Our Data.mp452.9 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/4. Loading Our Data.vtt7.5 KB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/5. Getting our data in ‘Shape’.mp433.8 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/5. Getting our data in ‘Shape’.vtt5.2 KB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/6. Hot One Encoding.mp418.2 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/6. Hot One Encoding.vtt3.5 KB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/7. Building & Compiling Our Model.mp436.2 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/7. Building & Compiling Our Model.vtt4.8 KB

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