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[Tutorialsplanet NET] Udemy - Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
5FDCD2FD950EC644BCB4451F296D6509A299F61C
Source
Unverified
Total Size
9.75 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. Introduction/1. Course Introduction.mp490.2 MB
1. Introduction/1. Course Introduction.srt15.74 KB
10. Data Augmentation Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.mp43.93 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.srt1.48 KB
10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4103.82 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.srt14.28 KB
10. Data Augmentation Build a Cats vs Dogs Classifier/2.1 datasets.zip.zip65.68 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.mp444.78 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.srt6.17 KB
10. Data Augmentation Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.mp443.5 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.srt7.37 KB
10. Data Augmentation Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.mp452.5 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.srt8.27 KB
11/1. Introduction to the Confusion Matrix & Viewing Misclassifications.mp42.53 MB
11/1. Introduction to the Confusion Matrix & Viewing Misclassifications.srt917 B
11/2. Understanding the Confusion Matrix.mp493.02 MB
11/2. Understanding the Confusion Matrix.srt16.54 KB
11/3. Finding and Viewing Misclassified Data.mp444.36 MB
11/3. Finding and Viewing Misclassified Data.srt8.48 KB
12/1. Introduction to the types of Optimizers, Learning Rates & Callbacks.mp43.43 MB
12/1. Introduction to the types of Optimizers, Learning Rates & Callbacks.srt1.01 KB
12/2. Types Optimizers and Adaptive Learning Rate Methods.mp467.23 MB
12/2. Types Optimizers and Adaptive Learning Rate Methods.srt10.96 KB
12/3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.mp451.14 MB
12/3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.srt9.44 KB
12/4. Build a Fruit Classifier.mp492.94 MB
12/4. Build a Fruit Classifier.srt11.61 KB
12/4.1 fruits-360.tar.gz.gz376.04 MB
13/1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.mp42.76 MB
13/1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.srt860 B
13/2. Build LeNet and test on MNIST.mp432.12 MB
13/2. Build LeNet and test on MNIST.srt4.38 KB
13/3. Build AlexNet and test on CIFAR10.mp442.16 MB
13/3. Build AlexNet and test on CIFAR10.srt6.28 KB
13/4. Batch Normalization.mp423.16 MB
13/4. Batch Normalization.srt4.23 KB
13/5. Build a Clothing & Apparel Classifier (Fashion MNIST).mp456.33 MB
13/5. Build a Clothing & Apparel Classifier (Fashion MNIST).srt8.42 KB
13/5.1 fashion_mnist.tar.gz.gz29.44 MB
14/1. Chapter Introduction.mp42.9 MB
14/1. Chapter Introduction.srt856 B
14/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp482.05 MB
14/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.srt12.07 KB
14/3. Understanding VGG16 and VGG19.mp414.44 MB
14/3. Understanding VGG16 and VGG19.srt2.4 KB
14/4. Understanding ResNet50.mp49.76 MB
14/4. Understanding ResNet50.srt2.08 KB
14/5. Understanding InceptionV3.mp414.35 MB
14/5. Understanding InceptionV3.srt3.53 KB
15/1. Chapter Introduction.mp42.26 MB
15/1. Chapter Introduction.srt813 B
15/2. What is Transfer Learning and Fine Tuning.mp444.91 MB
15/2. What is Transfer Learning and Fine Tuning.srt9.25 KB
15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4135.31 MB
15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.srt17.62 KB
15/3.1 17_flowers.tar.gz.gz57.54 MB
15/4. Build a Flower Classifier with VGG16 using Transfer Learning.mp481.96 MB
15/4. Build a Flower Classifier with VGG16 using Transfer Learning.srt10.61 KB
15/4.1 monkey_breed.zip.zip546.67 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/1. Chapter Introduction.mp41.85 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/1. Chapter Introduction.srt636 B
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/2. Introducing LittleVGG.mp411.46 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/2. Introducing LittleVGG.srt1.98 KB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.mp499.6 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.srt12.63 KB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3.1 simpsons.tar.gz.gz549.53 MB
17. Advanced Activation Functions and Initializations/1. Chapter Introduction.mp42.08 MB
17. Advanced Activation Functions and Initializations/1. Chapter Introduction.srt659 B
17. Advanced Activation Functions and Initializations/2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.mp432.33 MB
17. Advanced Activation Functions and Initializations/2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.srt6.73 KB
17. Advanced Activation Functions and Initializations/3. Advanced Initializations.mp414.96 MB
17. Advanced Activation Functions and Initializations/3. Advanced Initializations.srt3.63 KB
18/1. Chapter Introduction.mp44.57 MB
18/1. Chapter Introduction.srt1.29 KB
18/2. Build an Emotion, Facial Expression Detector.mp4201.96 MB
18/2. Build an Emotion, Facial Expression Detector.srt26.11 KB
18/2.1 fer2013.zip.zip143.26 MB
18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4260.78 MB
18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.srt31.39 KB
18/3.1 age-gender-estimation.tar.gz.gz552.2 MB
19/1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.mp42.93 MB
19/1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.srt891 B
19/2. What is Segmentation And Applications in Medical Imaging.mp429.64 MB
19/2. What is Segmentation And Applications in Medical Imaging.srt5.61 KB
19/3. U-Net Image Segmentation with CNNs.mp430.46 MB
19/3. U-Net Image Segmentation with CNNs.srt5.04 KB
19/4. The Intersection over Union (IoU) Metric.mp442.96 MB
19/4. The Intersection over Union (IoU) Metric.srt6.34 KB
19/5. Finding the Nuclei in Divergent Images.mp4171.06 MB
19/5. Finding the Nuclei in Divergent Images.srt20.91 KB
19/5.1 U_NET.zip.zip89.95 MB
2. Introduction to Computer Vision & Deep Learning/1. Introduction to Computer Vision & Deep Learning.mp43.12 MB
2. Introduction to Computer Vision & Deep Learning/1. Introduction to Computer Vision & Deep Learning.srt863 B
2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.mp460.12 MB
2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.srt8.6 KB
2. Introduction to Computer Vision & Deep Learning/3. What are Images.mp458.79 MB
2. Introduction to Computer Vision & Deep Learning/3. What are Images.srt10.68 KB
2. Introduction to Computer Vision & Deep Learning/4. Intro to OpenCV, OpenVINO™ & their Limitations.mp441.45 MB
2. Introduction to Computer Vision & Deep Learning/4. Intro to OpenCV, OpenVINO™ & their Limitations.srt9.24 KB
20. Principles of Object Detection/1. Chapter Introduction.mp43.4 MB

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