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文档列表

3/1.2 DeepLearningCV2.tar.gz.gz 674.4 MB
18/3.1 age-gender-estimation.tar.gz.gz 579.0 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3.1 simpsons.tar.gz.gz 576.2 MB
15/4.1 monkey_breed.zip.zip 573.2 MB
25. Face Recognition with VGGFace/2.1 vgg_face_weights.h5.tar.gz.gz 546.0 MB
12/4.1 fruits-360.tar.gz.gz 394.3 MB
18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4 273.4 MB
18/2. Build an Emotion, Facial Expression Detector.mp4 211.8 MB
19/5. Finding the Nuclei in Divergent Images.mp4 179.4 MB
22/4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4 166.8 MB
18/2.1 fer2013.zip.zip 150.2 MB
20. Principles of Object Detection/3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4 142.5 MB
15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4 141.9 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/3. Neural Style Transfer.mp4 130.8 MB
25. Face Recognition with VGGFace/1.1 25. Face Recognition All Notebooks.tar.gz.gz 126.6 MB
6. Neural Networks Explained in Detail/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 124.1 MB
24/5.1 GenerativeNetworks.tar.gz.gz 122.7 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/26. Sorting Contours - Sort Those Shapes By Size.mp4 111.3 MB
22/3. Experiment with YOLO on still images, webcam and videos.mp4 109.6 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 108.9 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/3. Convolutions & Image Features.mp4 107.3 MB
6. Neural Networks Explained in Detail/8. Backpropagation & Learning Rates – A Worked Example.mp4 104.7 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.mp4 104.4 MB
24/4. Implementing GANs in Keras.mp4 101.0 MB
11/2. Understanding the Confusion Matrix.mp4 97.5 MB
12/4. Build a Fruit Classifier.mp4 97.5 MB
1. Introduction/1. Course Introduction.mp4 94.6 MB
19/5.1 U_NET.zip.zip 94.3 MB
9/4. Filter Visualizations.mp4 93.8 MB
24/2. Introduction To GANs.mp4 89.5 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/2. DeepDream – How AI Generated Art All Started.mp4 88.1 MB
21. TensorFlow Object Detection API/3. Experiment with a ResNet SSD on images, webcam and videos.mp4 87.6 MB
14/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp4 86.0 MB
15/4. Build a Flower Classifier with VGG16 using Transfer Learning.mp4 85.9 MB
9/3. Saliency Maps & Class Activation Maps.mp4 84.7 MB
3/1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp4 81.2 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/5. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 78.5 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/12. Building a Simple Image Classifier using CIFAR10.mp4 78.0 MB
21. TensorFlow Object Detection API/4. How to Train a TFOD Model.mp4 77.8 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/2. Introduction to Keras & Tensorflow.mp4 77.3 MB
6. Neural Networks Explained in Detail/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 76.2 MB
4/2. Experiment with a Handwriting Classifier.mp4 70.6 MB
12/2. Types Optimizers and Adaptive Learning Rate Methods.mp4 70.5 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/2.1 datasets.zip.zip 68.9 MB
9/2. Saliency Maps & Class Activation Maps.mp4 67.3 MB
6. Neural Networks Explained in Detail/4. Forward Propagation.mp4 66.4 MB
2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.mp4 63.0 MB
6. Neural Networks Explained in Detail/5. Activation Functions.mp4 62.5 MB
2. Introduction to Computer Vision & Deep Learning/3. What are Images.mp4 61.6 MB
6. Neural Networks Explained in Detail/6. Training Part 1 – Loss Functions.mp4 61.2 MB
15/3.1 17_flowers.tar.gz.gz 60.3 MB
3/1.3 Master Deep Learning Computer Vision Slides.pdf.pdf 59.3 MB
3/1.5 Slides - Deep-Learning-Computer-Vision.pdf.pdf 59.3 MB
13/5. Build a Clothing & Apparel Classifier (Fashion MNIST).mp4 59.1 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/4. Loading Our Data.mp4 55.5 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.mp4 55.1 MB
6. Neural Networks Explained in Detail/2. Machine Learning Overview.mp4 54.8 MB
6. Neural Networks Explained in Detail/11. Measuring Performance and the Confusion Matrix.mp4 54.6 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/33. Mini Project 3 - Counting Circles and Ellipses.mp4 54.4 MB
22/2. Setting up and install Yolo DarkNet and DarkFlow.mp4 54.2 MB
20. Principles of Object Detection/2. Object Detection Introduction - Sliding Windows with HOGs.mp4 54.2 MB
12/3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.mp4 53.6 MB
21. TensorFlow Object Detection API/2. TFOD API Install and Setup.mp4 49.9 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/1.1 MasterOpenCV.tar.gz.gz 49.4 MB
24/5. Face Aging GAN.mp4 49.0 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/4. Depth, Stride and Padding.mp4 48.8 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/3. How are Images Formed.srt 48.0 MB
15/2. What is Transfer Learning and Fine Tuning.mp4 47.1 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.mp4 47.0 MB
11/3. Finding and Viewing Misclassified Data.mp4 46.5 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.mp4 45.6 MB
19/4. The Intersection over Union (IoU) Metric.mp4 45.0 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/4. Storing Images on Computers.mp4 44.4 MB
13/3. Build AlexNet and test on CIFAR10.mp4 44.2 MB
2. Introduction to Computer Vision & Deep Learning/4. Intro to OpenCV, OpenVINO™ & their Limitations.mp4 43.5 MB
4/4. OpenCV Demo – Live Sketch with Webcam.mp4 43.2 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/8. Training Our Classifier.mp4 42.8 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/2. Convolutional Neural Networks Introduction.mp4 38.4 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/7. Building & Compiling Our Model.mp4 38.0 MB
9/5. Heat Map Visualizations of Class Activations.mp4 35.9 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/5. Getting our data in ‘Shape’.mp4 35.4 MB
20. Principles of Object Detection/5. YOLO to YOLOv3.mp4 34.7 MB
17. Advanced Activation Functions and Initializations/2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.mp4 33.9 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/32. Blob Detection - Detect The Center of Flowers.mp4 33.8 MB
13/2. Build LeNet and test on MNIST.mp4 33.7 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/34. Object Detection Overview.mp4 32.3 MB
19/3. U-Net Image Segmentation with CNNs.mp4 31.9 MB
19/2. What is Segmentation And Applications in Medical Imaging.mp4 31.1 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/10. Saving and Loading Your Model.mp4 30.9 MB
13/5.1 fashion_mnist.tar.gz.gz 30.9 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/17. Bitwise Operations - How Image Masking Works.mp4 30.3 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/6. Pooling.mp4 30.2 MB
26. The Computer Vision World/5. Building a Deep Learning Machine vs. Cloud GPUs.mp4 29.6 MB
4/3. Experiment with a Image Classifier.mp4 28.6 MB
24/3. Mathematics of GANs.mp4 28.5 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/8. Training CNNs.mp4 28.5 MB
6. Neural Networks Explained in Detail/12. Review and Best Practices.mp4 28.5 MB
6. Neural Networks Explained in Detail/10. Epochs, Iterations and Batch Sizes.mp4 27.3 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/9. Plotting Loss and Accuracy Charts.mp4 26.8 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/11. Displaying Your Model Visually.mp4 26.7 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/9. Designing Your Own CNN.mp4 25.4 MB
6. Neural Networks Explained in Detail/3. Neural Networks Explained.mp4 24.5 MB
13/4. Batch Normalization.mp4 24.3 MB
26. The Computer Vision World/2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.mp4 24.1 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/3. How are Images Formed.mp4 22.3 MB
26. The Computer Vision World/4. Popular Computer Vision Conferences & Finding Datasets.mp4 20.5 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/6. Hot One Encoding.mp4 19.1 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/19. Sharpening - Reverse Your Images Blurs.mp4 18.2 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/2. What are Images.mp4 16.8 MB
17. Advanced Activation Functions and Initializations/3. Advanced Initializations.mp4 15.7 MB
14/3. Understanding VGG16 and VGG19.mp4 15.1 MB
14/5. Understanding InceptionV3.mp4 15.0 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/14. Image Pyramids - Another Way of Re-Sizing.mp4 14.9 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/1. Setup OpenCV.mp4 14.6 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/7. The Fully Connected Layer.mp4 14.5 MB
20. Principles of Object Detection/4. Single Shot Detectors (SSDs).mp4 13.1 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/2. Introducing LittleVGG.mp4 12.0 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/3. Building a Handwriting Recognition CNN.mp4 11.7 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/5. ReLU.mp4 11.4 MB
14/4. Understanding ResNet50.mp4 10.2 MB
26. The Computer Vision World/3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.mp4 9.0 MB
9/1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.mp4 8.7 MB
6. Neural Networks Explained in Detail/1. Neural Networks Chapter Overview.mp4 8.2 MB
29/1.1 CVApiWebAPp.tar.gz.gz 8.1 MB
4/1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.mp4 7.8 MB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/1. Building a CNN in Keras.mp4 5.9 MB
7. Convolutional Neural Networks (CNNs) Explained in Detail/1. Convolutional Neural Networks Chapter Overview.mp4 5.4 MB
22/4.1 LondonUnderground_train.tar.gz.gz 5.3 MB
24/1. Generative Adverserial Neural Networks Chapter Overview.mp4 4.9 MB
18/1. Chapter Introduction.mp4 4.8 MB
10. Data Augmentation Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.mp4 4.1 MB
12/1. Introduction to the types of Optimizers, Learning Rates & Callbacks.mp4 3.6 MB
20. Principles of Object Detection/1. Chapter Introduction.mp4 3.6 MB
26. The Computer Vision World/1. Chapter Introduction.mp4 3.4 MB
2. Introduction to Computer Vision & Deep Learning/1. Introduction to Computer Vision & Deep Learning.mp4 3.3 MB
19/1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.mp4 3.1 MB
14/1. Chapter Introduction.mp4 3.0 MB
13/1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.mp4 2.9 MB
11/1. Introduction to the Confusion Matrix & Viewing Misclassifications.mp4 2.7 MB
22/1. Chapter Introduction.mp4 2.6 MB
21. TensorFlow Object Detection API/1. Chapter Introduction.mp4 2.6 MB
15/1. Chapter Introduction.mp4 2.4 MB
17. Advanced Activation Functions and Initializations/1. Chapter Introduction.mp4 2.2 MB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/1. Chapter Introduction.mp4 1.9 MB
23. DeepDream & Neural Style Transfers Make AI Generated Art/1. Chapter Introduction.mp4 1.6 MB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/40.1 Lecture 6.2 and 6.3.tar.gz.gz 278.0 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/41.1 Lecture 6.2 and 6.3.tar.gz.gz 278.0 kB
27. BONUS - Build a Credit Card Number Reader/1.1 Credit-Card Number Identification.zip.zip 131.5 kB
18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.srt 32.1 kB
28. BONUS - Use Cloud GPUs on PaperSpace/2.1 AlexNet CIFAR10.zip.zip 30.3 kB
18/2. Build an Emotion, Facial Expression Detector.srt 26.7 kB
22/4. Build your own YOLO Object Detector - Detecting London Underground Signs.srt 22.9 kB
6. Neural Networks Explained in Detail/9. Regularization, Overfitting, Generalization and Test Datasets.srt 21.7 kB
20. Principles of Object Detection/3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.srt 21.5 kB
19/5. Finding the Nuclei in Divergent Images.srt 21.4 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/26. Sorting Contours - Sort Those Shapes By Size.srt 20.4 kB
6. Neural Networks Explained in Detail/8. Backpropagation & Learning Rates – A Worked Example.srt 18.3 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/2. Introduction to Keras & Tensorflow.srt 18.2 kB
15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.srt 18.0 kB
7. Convolutional Neural Networks (CNNs) Explained in Detail/3. Convolutions & Image Features.srt 17.8 kB
23. DeepDream & Neural Style Transfers Make AI Generated Art/3. Neural Style Transfer.srt 17.7 kB
24/2. Introduction To GANs.srt 17.0 kB
11/2. Understanding the Confusion Matrix.srt 16.9 kB
1. Introduction/1. Course Introduction.srt 16.1 kB
24/4. Implementing GANs in Keras.srt 16.0 kB
28. BONUS - Use Cloud GPUs on PaperSpace/1. Why use Cloud GPUs and How to Setup a PaperSpace Gradient Notebook.html 15.4 kB
3/1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).srt 14.8 kB
10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.srt 14.6 kB
9/4. Filter Visualizations.srt 13.8 kB
6. Neural Networks Explained in Detail/7. Training Part 2 – Backpropagation and Gradient Descent.srt 13.5 kB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.srt 12.9 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/5. Getting Started with OpenCV - A Brief OpenCV Intro.srt 12.6 kB
27. BONUS - Build a Credit Card Number Reader/1. Step 1 - Creating a Credit Card Number Dataset.html 12.6 kB
22/3. Experiment with YOLO on still images, webcam and videos.srt 12.4 kB
14/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.srt 12.4 kB
6. Neural Networks Explained in Detail/6. Training Part 1 – Loss Functions.srt 12.2 kB
21. TensorFlow Object Detection API/4. How to Train a TFOD Model.srt 12.2 kB
6. Neural Networks Explained in Detail/5. Activation Functions.srt 12.1 kB
12/4. Build a Fruit Classifier.srt 11.9 kB
6. Neural Networks Explained in Detail/4. Forward Propagation.srt 11.7 kB
23. DeepDream & Neural Style Transfers Make AI Generated Art/2. DeepDream – How AI Generated Art All Started.srt 11.7 kB
6. Neural Networks Explained in Detail/2. Machine Learning Overview.srt 11.6 kB
9/3. Saliency Maps & Class Activation Maps.srt 11.6 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/12. Building a Simple Image Classifier using CIFAR10.srt 11.5 kB
12/2. Types Optimizers and Adaptive Learning Rate Methods.srt 11.2 kB
2. Introduction to Computer Vision & Deep Learning/3. What are Images.srt 10.9 kB
15/4. Build a Flower Classifier with VGG16 using Transfer Learning.srt 10.9 kB
21. TensorFlow Object Detection API/3. Experiment with a ResNet SSD on images, webcam and videos.srt 10.3 kB
6. Neural Networks Explained in Detail/11. Measuring Performance and the Confusion Matrix.srt 9.9 kB
12/3. Keras Callbacks and Checkpoint, Early Stopping and Adjust Learning Rates that Pl.srt 9.7 kB
15/2. What is Transfer Learning and Fine Tuning.srt 9.5 kB
2. Introduction to Computer Vision & Deep Learning/4. Intro to OpenCV, OpenVINO™ & their Limitations.srt 9.5 kB
9/2. Saliency Maps & Class Activation Maps.srt 9.4 kB
7. Convolutional Neural Networks (CNNs) Explained in Detail/4. Depth, Stride and Padding.srt 9.3 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/33. Mini Project 3 - Counting Circles and Ellipses.srt 9.2 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/4. Loading Our Data.srt 8.9 kB
2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.srt 8.8 kB
11/3. Finding and Viewing Misclassified Data.srt 8.7 kB
13/5. Build a Clothing & Apparel Classifier (Fashion MNIST).srt 8.6 kB
10. Data Augmentation Build a Cats vs Dogs Classifier/5. Types of Data Augmentation.srt 8.5 kB
4/2. Experiment with a Handwriting Classifier.srt 8.4 kB
27. BONUS - Build a Credit Card Number Reader/3. Step 3 - Extracting A Credit Card from the Background.html 8.2 kB
20. Principles of Object Detection/2. Object Detection Introduction - Sliding Windows with HOGs.srt 7.9 kB
22/2. Setting up and install Yolo DarkNet and DarkFlow.srt 7.7 kB
24/5. Face Aging GAN.srt 7.7 kB
10. Data Augmentation Build a Cats vs Dogs Classifier/4. Boosting Accuracy with Data Augmentation.srt 7.5 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/8. Training Our Classifier.srt 7.2 kB
7. Convolutional Neural Networks (CNNs) Explained in Detail/2. Convolutional Neural Networks Introduction.srt 7.1 kB
28. BONUS - Use Cloud GPUs on PaperSpace/2. Train a AlexNet on PaperSpace.html 7.1 kB
29/5. Setting Up Your AWS EC2 Instance & Installing Keras, TensorFlow, OpenCV & Flask.html 7.0 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/4. Storing Images on Computers.srt 7.0 kB
17. Advanced Activation Functions and Initializations/2. Dying ReLU Problem and Introduction to Leaky ReLU, ELU and PReLUs.srt 6.9 kB
3/2. Optional - Troubleshooting Guide for VM Setup & for resolving some MacOS Issues.html 6.9 kB
29/2. Running Your Computer Vision Web App on Flask Locally.html 6.8 kB
21. TensorFlow Object Detection API/2. TFOD API Install and Setup.srt 6.8 kB
7. Convolutional Neural Networks (CNNs) Explained in Detail/6. Pooling.srt 6.6 kB
19/4. The Intersection over Union (IoU) Metric.srt 6.5 kB
13/3. Build AlexNet and test on CIFAR10.srt 6.4 kB
10. Data Augmentation Build a Cats vs Dogs Classifier/3. Train a Cats vs. Dogs Classifier.srt 6.3 kB
6. Neural Networks Explained in Detail/12. Review and Best Practices.srt 6.2 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/5. Getting our data in ‘Shape’.srt 6.0 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/17. Bitwise Operations - How Image Masking Works.srt 5.8 kB
19/2. What is Segmentation And Applications in Medical Imaging.srt 5.7 kB
26. The Computer Vision World/5. Building a Deep Learning Machine vs. Cloud GPUs.srt 5.7 kB
6. Neural Networks Explained in Detail/3. Neural Networks Explained.srt 5.6 kB
4/4. OpenCV Demo – Live Sketch with Webcam.srt 5.6 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/7. Building & Compiling Our Model.srt 5.6 kB
7. Convolutional Neural Networks (CNNs) Explained in Detail/9. Designing Your Own CNN.srt 5.5 kB
20. Principles of Object Detection/5. YOLO to YOLOv3.srt 5.4 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/32. Blob Detection - Detect The Center of Flowers.srt 5.4 kB
24/3. Mathematics of GANs.srt 5.3 kB
29/1. Install and Run Flask.html 5.2 kB
19/3. U-Net Image Segmentation with CNNs.srt 5.2 kB
9/5. Heat Map Visualizations of Class Activations.srt 5.2 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/34. Object Detection Overview.srt 5.0 kB
6. Neural Networks Explained in Detail/10. Epochs, Iterations and Batch Sizes.srt 4.9 kB
29/3. Running Your Computer Vision API.html 4.9 kB
29/7. Using FileZilla to transfer files to your EC2 Instance.html 4.8 kB
27. BONUS - Build a Credit Card Number Reader/2. Step 2 - Training Our Model.html 4.8 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/9. Plotting Loss and Accuracy Charts.srt 4.7 kB
26. The Computer Vision World/2. Alternative Frameworks PyTorch, MXNet, Caffe, Theano & OpenVINO.srt 4.7 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/10. Saving and Loading Your Model.srt 4.7 kB
13/2. Build LeNet and test on MNIST.srt 4.5 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/11. Displaying Your Model Visually.srt 4.4 kB
4/3. Experiment with a Image Classifier.srt 4.4 kB
13/4. Batch Normalization.srt 4.3 kB
7. Convolutional Neural Networks (CNNs) Explained in Detail/8. Training CNNs.srt 4.3 kB
27. BONUS - Build a Credit Card Number Reader/4. Step 4 - Use our Model to Identify the Digits & Display it onto our Credit Card.html 4.2 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/6. Hot One Encoding.srt 4.2 kB
17. Advanced Activation Functions and Initializations/3. Advanced Initializations.srt 3.7 kB
14/5. Understanding InceptionV3.srt 3.6 kB
3/3. Optional - Manual Setup of Ubuntu Virtual Machine.html 3.6 kB
26. The Computer Vision World/4. Popular Computer Vision Conferences & Finding Datasets.srt 3.6 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/2. What are Images.srt 3.4 kB
7. Convolutional Neural Networks (CNNs) Explained in Detail/7. The Fully Connected Layer.srt 3.3 kB
29/9. Running your CV API on EC2.html 3.2 kB
3/4. Optional - Setting up a shared drive with your Host OS.html 3.0 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/14. Image Pyramids - Another Way of Re-Sizing.srt 2.8 kB
20. Principles of Object Detection/4. Single Shot Detectors (SSDs).srt 2.8 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/19. Sharpening - Reverse Your Images Blurs.srt 2.7 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/3. Building a Handwriting Recognition CNN.srt 2.6 kB
29/8. Running your CV Web App on EC2.html 2.5 kB
7. Convolutional Neural Networks (CNNs) Explained in Detail/5. ReLU.srt 2.5 kB
14/3. Understanding VGG16 and VGG19.srt 2.5 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/1. Setup OpenCV.srt 2.3 kB
6. Neural Networks Explained in Detail/1. Neural Networks Chapter Overview.srt 2.2 kB
14/4. Understanding ResNet50.srt 2.1 kB
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/2. Introducing LittleVGG.srt 2.0 kB
29/4. Setting Up An AWS Account.html 1.8 kB
5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/31. Circle Detection.html 1.6 kB
29/6. Changing your EC2 Security Group.html 1.6 kB
26. The Computer Vision World/3. Popular APIs Google, Microsoft, ClarifAI Amazon Rekognition and others.srt 1.6 kB
10. Data Augmentation Build a Cats vs Dogs Classifier/1. Data Augmentation Chapter Overview.srt 1.5 kB
7. Convolutional Neural Networks (CNNs) Explained in Detail/1. Convolutional Neural Networks Chapter Overview.srt 1.5 kB
9/1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.srt 1.5 kB
8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/1. Building a CNN in Keras.srt 1.4 kB
18/1. Chapter Introduction.srt 1.3 kB
24/1. Generative Adverserial Neural Networks Chapter Overview.srt 1.2 kB
20. Principles of Object Detection/1. Chapter Introduction.srt 1.2 kB
25. Face Recognition with VGGFace/2. Face Matching with VGGFace.html 1.1 kB
26. The Computer Vision World/1. Chapter Introduction.srt 1.1 kB
12/1. Introduction to the types of Optimizers, Learning Rates & Callbacks.srt 1.0 kB
25. Face Recognition with VGGFace/1. Basic Face Recognition using LittleVGG CNN.html 997 Bytes
11/1. Introduction to the Confusion Matrix & Viewing Misclassifications.srt 917 Bytes
4/1. Get Started! Handwriting Recognition, Simple Object Classification OpenCV Demo.srt 900 Bytes
19/1. Chapter Overview on Image Segmentation & Medical Imaging in U-Net.srt 891 Bytes
2. Introduction to Computer Vision & Deep Learning/1. Introduction to Computer Vision & Deep Learning.srt 863 Bytes
13/1. Intro to Building LeNet, AlexNet in Keras & Understand Batch Normalization.srt 860 Bytes
14/1. Chapter Introduction.srt 856 Bytes
15/1. Chapter Introduction.srt 813 Bytes
21. TensorFlow Object Detection API/1. Chapter Introduction.srt 765 Bytes
17. Advanced Activation Functions and Initializations/1. Chapter Introduction.srt 659 Bytes
22/1. Chapter Introduction.srt 658 Bytes
16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/1. Chapter Introduction.srt 636 Bytes
23. DeepDream & Neural Style Transfers Make AI Generated Art/1. Chapter Introduction.srt 496 Bytes
25. Face Recognition with VGGFace/3. Face Recognition using WebCam & Identifying Friends TV Show Characters in Video.html 441 Bytes
3/1.1 Download Your Deep Learning Virtual Machine HERE.html 143 Bytes
[Tutorialsplanet.NET].url 128 Bytes
22/2.1 Guide to the MacOS Install.html 124 Bytes
21. TensorFlow Object Detection API/2.1 Download the code (for those not using the Virtual Machine).html 108 Bytes
22/2.2 Download the YOLO files (if not using the VM).html 108 Bytes
3/1.4 MIRROR - Download Your Deep Learning Virtual Machine HERE.html 108 Bytes

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