18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 146.1 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 138.8 MB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 138.2 MB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 120.3 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 116.8 MB
5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 115.6 MB
24. Generative Adversarial Networks (GANs)/4. Use Cases for GANs.mp4 113.4 MB
15. Improving Models and Advanced CNN Design/12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4 113.3 MB
16. Visualizing What CNN's Learn/3. Keras Filter Visualization and Activations.mp4 112.4 MB
20. PyTorch Lightning/3. Auto Batch and Learning Rate Selection plus Tensorboards.mp4 111.7 MB
21. Transfer Learning and Fine Tuning/7. PyTorch Feature Extraction.mp4 108.4 MB
12. Building CNNs in PyTorch/5. Building our Model.mp4 107.3 MB
24. Generative Adversarial Networks (GANs)/7. Super Resolution GAN.mp4 107.2 MB
24. Generative Adversarial Networks (GANs)/5. Keras DCGAN with MNIST.mp4 105.8 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5. Getting the Rank-N Accuracy in PyTorch.mp4 102.7 MB
48. Image Captioning with Keras/1. Image Captioning with Keras.mp4 100.8 MB
12. Building CNNs in PyTorch/7. Training Your Model.mp4 100.7 MB
15. Improving Models and Advanced CNN Design/10. Training a Fashion Classifider (FNIST) with Regularization using Keras.mp4 100.7 MB
21. Transfer Learning and Fine Tuning/3. Transfer Learning and Fine Tuning with Keras.mp4 100.7 MB
7. OpenCV - Motion and Object Tracking/2. Object Tracking with Optical Flow.mp4 99.8 MB
3. OpenCV - Image Operations/1. Getting Started with OpenCV4.mp4 99.3 MB
52. Point Cloud Segmentation Using PointNet/1. Point Cloud Segmentation Using PointNet.mp4 96.5 MB
14. Assessing Model Performance/3. Confusion Matrix and Classification Report.srt 20.9 kB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.srt 20.5 kB
11. Deep Learning in Computer Vision Introduction/21. Deep Learning History.srt 20.5 kB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).srt 20.0 kB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.srt 19.9 kB
14. Assessing Model Performance/1. Deep Learning Libraries PyTorch vs Keras Review.srt 19.5 kB