| 3/1.2 DeepLearningCV2.tar.gz.gz | 643.18 MB |
| 18/3.1 age-gender-estimation.tar.gz.gz | 552.2 MB |
| 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3.1 simpsons.tar.gz.gz | 549.53 MB |
| 15/4.1 monkey_breed.zip.zip | 546.67 MB |
| 25. Face Recognition with VGGFace/2.1 vgg_face_weights.h5.tar.gz.gz | 520.7 MB |
| 12/4.1 fruits-360.tar.gz.gz | 376.04 MB |
| 18/3. Build EmotionAgeGender Recognition in our Deep Surveillance Monitor.mp4 | 260.78 MB |
| 18/2. Build an Emotion, Facial Expression Detector.mp4 | 201.96 MB |
| 19/5. Finding the Nuclei in Divergent Images.mp4 | 171.06 MB |
| 22/4. Build your own YOLO Object Detector - Detecting London Underground Signs.mp4 | 159.11 MB |
| 18/2.1 fer2013.zip.zip | 143.26 MB |
| 20. Principles of Object Detection/3. R-CNN, Fast R-CNN, Faster R-CNN and Mask R-CNN.mp4 | 135.87 MB |
| 15/3. Build a Monkey Breed Classifier with MobileNet using Transfer Learning.mp4 | 135.31 MB |
| 23. DeepDream & Neural Style Transfers Make AI Generated Art/3. Neural Style Transfer.mp4 | 124.75 MB |
| 25. Face Recognition with VGGFace/1.1 25. Face Recognition All Notebooks.tar.gz.gz | 120.75 MB |
| 6. Neural Networks Explained in Detail/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 | 118.38 MB |
| 24/5.1 GenerativeNetworks.tar.gz.gz | 116.98 MB |
| 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/26. Sorting Contours - Sort Those Shapes By Size.mp4 | 106.17 MB |
| 22/3. Experiment with YOLO on still images, webcam and videos.mp4 | 104.48 MB |
| 10. Data Augmentation Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 | 103.82 MB |
| 7. Convolutional Neural Networks (CNNs) Explained in Detail/3. Convolutions & Image Features.mp4 | 102.35 MB |
| 6. Neural Networks Explained in Detail/8. Backpropagation & Learning Rates – A Worked Example.mp4 | 99.84 MB |
| 16. Design Your Own CNN - LittleVGG Build a Simpsons Character Classifier/3. Simpsons Character Recognition using LittleVGG.mp4 | 99.6 MB |
| 24/4. Implementing GANs in Keras.mp4 | 96.35 MB |
| 11/2. Understanding the Confusion Matrix.mp4 | 93.02 MB |
| 12/4. Build a Fruit Classifier.mp4 | 92.94 MB |
| 1. Introduction/1. Course Introduction.mp4 | 90.2 MB |
| 19/5.1 U_NET.zip.zip | 89.95 MB |
| 9/4. Filter Visualizations.mp4 | 89.48 MB |
| 24/2. Introduction To GANs.mp4 | 85.34 MB |
| 23. DeepDream & Neural Style Transfers Make AI Generated Art/2. DeepDream – How AI Generated Art All Started.mp4 | 83.97 MB |
| 21. TensorFlow Object Detection API/3. Experiment with a ResNet SSD on images, webcam and videos.mp4 | 83.55 MB |
| 14/2. ImageNet - Experimenting with pre-trained Models in Keras (VGG16, ResNet50, Mobi.mp4 | 82.05 MB |
| 15/4. Build a Flower Classifier with VGG16 using Transfer Learning.mp4 | 81.96 MB |
| 9/3. Saliency Maps & Class Activation Maps.mp4 | 80.78 MB |
| 3/1. Setting up your Deep Learning Virtual Machine (Download Code, VM & Slides here!).mp4 | 77.4 MB |
| 5. OpenCV3 Tutorial (OPTIONAL) - Live Sketches, Identify Shapes & Face Detection/5. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 | 74.9 MB |
| 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/12. Building a Simple Image Classifier using CIFAR10.mp4 | 74.35 MB |
| 21. TensorFlow Object Detection API/4. How to Train a TFOD Model.mp4 | 74.21 MB |
| 8. Build CNNs in Python using Keras - Handwriting Recognition (MNIST)/2. Introduction to Keras & Tensorflow.mp4 | 73.69 MB |
| 6. Neural Networks Explained in Detail/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 | 72.62 MB |
| 4/2. Experiment with a Handwriting Classifier.mp4 | 67.3 MB |
| 12/2. Types Optimizers and Adaptive Learning Rate Methods.mp4 | 67.23 MB |
| 10. Data Augmentation Build a Cats vs Dogs Classifier/2.1 datasets.zip.zip | 65.68 MB |
| 9/2. Saliency Maps & Class Activation Maps.mp4 | 64.15 MB |
| 6. Neural Networks Explained in Detail/4. Forward Propagation.mp4 | 63.34 MB |
| 2. Introduction to Computer Vision & Deep Learning/2. What is Computer Vision and What Makes it Hard.mp4 | 60.12 MB |
| 6. Neural Networks Explained in Detail/5. Activation Functions.mp4 | 59.62 MB |
| 2. Introduction to Computer Vision & Deep Learning/3. What are Images.mp4 | 58.79 MB |
| 6. Neural Networks Explained in Detail/6. Training Part 1 – Loss Functions.mp4 | 58.41 MB |