Modern Computer Vision PyTorch, Tensorflow2 Keras and OpenCV4__2022-02udemy

磁力链接/BT种子名称

Modern Computer Vision PyTorch, Tensorflow2 Keras and OpenCV4__2022-02udemy

磁力链接/BT种子简介

种子哈希：f48ecafe94d6febdb6f8c4c63fd3bb9fe8ec08a0
文件大小：368.05M
已经下载：4776次
下载速度：极快
收录时间：2023-12-17
最近下载：2025-12-01

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:F48ECAFE94D6FEBDB6F8C4C63FD3BB9FE8EC08A0
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 世界之窗 小蓝俱乐部 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 母狗园 51动漫 91短视频 抖音Max 海王TV TikTok成人版 PornHub 暗网Xvideo 草榴社区 哆哔涩漫 呦乐园 萝莉岛 搜同 91暗网

最近搜索

文件列表

  • 02 Download Code and Setup Colab/1 Modern Computer Vision__2022-02-25.7z 120.8 MB
  • 16 Visualizing What CNN's Learn/6 Filter and Class Maximization.mkv 3.4 MB
  • 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2 Loading Pre-Trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mkv 3.2 MB
  • 09 OpenCV Projects/06 Neural Style Transfer with OpenCV.mkv 2.9 MB
  • 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5 DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mkv 2.7 MB
  • 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1 Implementing LeNet and AlexNet in Keras.mkv 2.7 MB
  • 04 OpenCV - Image Segmentation/2 Moments, Sorting, Approximating and Matching Contours.mkv 2.7 MB
  • 22 Google DeepStream and Neural Style Transfer/5 Neural Style Transfer in Keras.mkv 2.7 MB
  • 21 Transfer Learning and Fine Tuning/4 Keras Feature Extraction.mkv 2.5 MB
  • 04 OpenCV - Image Segmentation/1 Contours - Drawing, Hierarchy and Modes.mkv 2.4 MB
  • 09 OpenCV Projects/03 OCR with PyTesseract and EasyOCR (Text Detection).mkv 2.4 MB
  • 29 Gun Detector - Scaled-YOLOv4/1 Gun Detector - Scaled-YOLOv4.mkv 2.4 MB
  • 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3 Loading Pre-Trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mkv 2.4 MB
  • 19 Using Callbacks in Keras and PyTorch/2 Cats vs Dogs Classifier Using Callbacks in PyTorch.mkv 2.3 MB
  • 24 Generative Adversarial Networks (GANs)/5 Keras DCGAN with MNIST.mkv 2.2 MB
  • 19 Using Callbacks in Keras and PyTorch/3 Cats vs Dogs Classifier Using Callbacks in Keras.mkv 2.2 MB
  • 21 Transfer Learning and Fine Tuning/5 PyTorch Fine Tuning.mkv 2.2 MB
  • 03 OpenCV - Image Operations/09 Thresholding, Binarization and Adaptive Thresholding.mkv 2.2 MB
  • 16 Visualizing What CNN's Learn/3 Keras Filter Visualization and Activations.mkv 2.1 MB
  • 03 OpenCV - Image Operations/06 Scaling, Re-sizing, Interpolations and Cropping.mkv 2.1 MB
  • 21 Transfer Learning and Fine Tuning/7 PyTorch Feature Extraction.mkv 2.1 MB
  • 20 PyTorch Lightning/3 Auto Batch and Learning Rate Selection Plus Tensorboards.mkv 2.1 MB
  • 15 Improving Models and Advanced CNN Design/12 Training a Fashion Classifider (FNIST) with Regularization Using PyTorch.mkv 2.0 MB
  • 03 OpenCV - Image Operations/01 Getting Started with OpenCV4.mkv 1.9 MB
  • 15 Improving Models and Advanced CNN Design/10 Training a Fashion Classifider (FNIST) with Regularization Using Keras.mkv 1.9 MB
  • 31 Sign Language Detector TFODAPI EfficentDet/1 Sign Language Detector TFODAPI EfficentDet.mkv 1.9 MB
  • 21 Transfer Learning and Fine Tuning/3 Transfer Learning and Fine Tuning with Keras.mkv 1.8 MB
  • 43 Tracking with DeepSORT/2 DeepSORT with YOLOv5.mkv 1.8 MB
  • 05 OpenCV - Haar Cascade Classifiers/1 Face and Eye Detection with Haar Cascade Classifiers.mkv 1.8 MB
  • 24 Generative Adversarial Networks (GANs)/7 Super Resolution GAN.mkv 1.7 MB
  • 53 Point Cloud Segmentation Using PointNet/1 Point Cloud Segmentation Using PointNet.mkv 1.7 MB
  • 56 Low Light Image Enhancement MIRNet/1 Low Light Image Enhancement MIRNet.mkv 1.7 MB
  • 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5 Getting the Rank-N Accuracy in PyTorch.mkv 1.7 MB
  • 07 OpenCV - Motion and Object Tracking/2 Object Tracking with Optical Flow.mkv 1.7 MB
  • 01 Introduction/1 Course Introduction.mkv 1.7 MB
  • 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/1 Introduction to Deep Segmentation.mkv 1.7 MB
  • 12 Building CNNs in PyTorch/5 Building Our Model.mkv 1.7 MB
  • 16 Visualizing What CNN's Learn/8 Grad-CAM Plus.mkv 1.6 MB
  • 14 Assessing Model Performance/1 Deep Learning Libraries PyTorch vs Keras Review.mkv 1.6 MB
  • 49 Image Captioning with Keras/1 Image Captioning with Keras.mkv 1.6 MB
  • 30 Mask Detector TFODAPI MobileNetV2_SSD/1 Mask Detector TFODAPI MobileNetV2_SSD.mkv 1.6 MB
  • 08 OpenCV - Facial Landmark Detection and Face Swaps/2 Face Swapping with Dlib.mkv 1.6 MB
  • 14 Assessing Model Performance/3 Confusion Matrix and Classification Report.mkv 1.6 MB
  • 24 Generative Adversarial Networks (GANs)/4 Use Cases for GANs.mkv 1.6 MB
  • 12 Building CNNs in PyTorch/7 Training Your Model.mkv 1.6 MB
  • 10 OpenCV - Working with Video/1 Using Your Webcam and Creating a Live Sketch of Yourself.mkv 1.6 MB
  • 23 Autoencoders/2 Autoencoders in Keras.mkv 1.6 MB
  • 05 OpenCV - Haar Cascade Classifiers/2 Vehicle and Pedestrian Detection.mkv 1.6 MB
  • 11 Deep Learning in Computer Vision Introduction/21 Deep Learning History.mkv 1.6 MB
  • 09 OpenCV Projects/10 Add and Remove Noise and Fix Contrast with Histogram Equalization.mkv 1.5 MB
  • 25 Siamese Network/3 Siamese Networks in Keras.mkv 1.5 MB
  • 33 Mushroom Detector Detectron2/1 Mushroom Detector Detectron2.mkv 1.5 MB
  • 15 Improving Models and Advanced CNN Design/09 Training a Fashion Classifider (FNIST) with no Regularization Using Keras.mkv 1.5 MB
  • 01 Introduction/2 Course Overview.mkv 1.5 MB
  • 06 OpenCV - Image Analysis and Transformation/2 Histograms and K-Means Clustering for Dominant Colors.mkv 1.5 MB
  • 03 OpenCV - Image Operations/10 Dilation, Erosion and Edge Detection.mkv 1.5 MB
  • 45 Vision Transformers - ViTs/2 Vision Transformer in Detail with PyTorch.mkv 1.5 MB
  • 10 OpenCV - Working with Video/7 Importing YouTube Videos into OpenCV.mkv 1.5 MB
  • 09 OpenCV Projects/05 YOLOv3 in OpenCV.mkv 1.5 MB
  • 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/2 Image Segmentation Keras UNET SegNet.mkv 1.5 MB
  • 09 OpenCV Projects/12 Facial Recognition.mkv 1.5 MB
  • 13 Building CNNs in TensorFlow with Keras/7 Saving and Loading and Visualising Results.mkv 1.5 MB
  • 06 OpenCV - Image Analysis and Transformation/6 Background and Foreground Subtraction.mkv 1.4 MB
  • 57 Deploy Your CV App Using Flask RestFUL API and Web App/1 Flask RestFUL API.mkv 1.4 MB
  • 09 OpenCV Projects/04 Barcode, QR Generation and Reading.mkv 1.4 MB
  • 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3 Face Recognition Keras One Shot Learning and Friends.mkv 1.4 MB
  • 25 Siamese Network/4 Siamese Networks in PyTorch.mkv 1.4 MB
  • 23 Autoencoders/3 Autoencoders in PyTorch.mkv 1.4 MB
  • 03 OpenCV - Image Operations/07 Arithmetic and Bitwise Operations.mkv 1.4 MB
  • 35 Drone Maritime Detector R-CNN/1 Drone Maritime Detector R-CNN.mkv 1.4 MB
  • 14 Assessing Model Performance/4 Keras Viewing Misclassifications.mkv 1.3 MB
  • 24 Generative Adversarial Networks (GANs)/6 PyTorch GANs.mkv 1.3 MB
  • 22 Google DeepStream and Neural Style Transfer/2 Google DeepDream in Keras.mkv 1.3 MB
  • 09 OpenCV Projects/08 Colorize Black and White Photos Using a Caffe Model in OpenCV.mkv 1.3 MB
  • 47 Depth Estimation/1 Depth Estimation Project.mkv 1.3 MB
  • 11 Deep Learning in Computer Vision Introduction/22 Deep Learning Libraries Overview.mkv 1.3 MB
  • 32 Pothole Detector - TinyYOLOv4/1 Pothole Detector - TinyYOLOv4.mkv 1.3 MB
  • 20 PyTorch Lightning/4 PyTorch Lightning Calls, Saving, Inference.mkv 1.3 MB
  • 22 Google DeepStream and Neural Style Transfer/4 Introduction to Neural Style Transfer.mkv 1.3 MB
  • 40 Plant Doctor Detector YOLOv5/1 Plant Doctor Detector YOLOv5.mkv 1.3 MB
  • 07 OpenCV - Motion and Object Tracking/1 Motion Tracking with Mean Shift and CAMSHIFT.mkv 1.3 MB
  • 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/5 Detectron2 Mask R-CNN.mkv 1.3 MB
  • 06 OpenCV - Image Analysis and Transformation/1 Perspective Transforms.mkv 1.3 MB
  • 03 OpenCV - Image Operations/04 Drawing on Images.mkv 1.3 MB
  • 15 Improving Models and Advanced CNN Design/11 Training a Fashion Classifider (FNIST) with no Regularization Using PyTorch.mkv 1.3 MB
  • 20 PyTorch Lightning/5 Training on Multiple GPU, Profiling and Tpus.mkv 1.2 MB
  • 17 Advamced Convolutional Neural Networks/07 MobileNetV1 and V2.mkv 1.2 MB
  • 12 Building CNNs in PyTorch/3 Inspect and Visualise Data.mkv 1.2 MB
  • 03 OpenCV - Image Operations/05 Transformations - Translations and Rotations.mkv 1.2 MB
  • 11 Deep Learning in Computer Vision Introduction/20 Deep Learning CNN Recap.mkv 1.2 MB
  • 22 Google DeepStream and Neural Style Transfer/6 Neural Style Transfer in PyTorch.mkv 1.2 MB
  • 27 Object Detection/1 Object Detection.mkv 1.2 MB
  • 03 OpenCV - Image Operations/03 Colour Spaces - RGB and HSV.mkv 1.2 MB
  • 43 Tracking with DeepSORT/1 DeepSORT Introduction.mkv 1.2 MB
  • 55 Medical Project - 3D CT Scan Classification/1 3D CT Scan Classification.mkv 1.2 MB
  • 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/4 Mask-RCNN TensorFlow Matterport.mkv 1.2 MB
  • 54 Medical Project - X-Ray Pneumonia Prediction/1 X-Ray Pneumonia Prediction.mkv 1.2 MB
  • 52 Point Cloud Classification PointNet/1 Point Cloud Classification PointNet.mkv 1.2 MB
  • 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/3 PyTorch DeepLabV3.mkv 1.2 MB
  • 39 Bloodcell Detector YOLOv5/1 Bloodcell Detector YOLOv5.mkv 1.1 MB
  • 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6 Getting the Rank-N Accuracy in Keras.mkv 1.1 MB
  • 20 PyTorch Lightning/2 Lightning Setup and Class.mkv 1.1 MB
  • 37 Bloodcell Detector YOLOv5/1 Bloodcell Detector YOLOv5.mkv 1.1 MB
  • 44 Deep Fakes/1 Creating a Deep Fake.mkv 1.1 MB
  • 09 OpenCV Projects/01 Tilt Shift Effects.mkv 1.1 MB
  • 21 Transfer Learning and Fine Tuning/2 Transfer Learning in PyTorch Lightning.mkv 1.1 MB
  • 27 Object Detection/2 History of Object Detectors.mkv 1.1 MB
  • 22 Google DeepStream and Neural Style Transfer/3 Google DeepDream in PyTorch.mkv 1.1 MB
  • 15 Improving Models and Advanced CNN Design/01 What is Overfitting and Generalisation.mkv 1.1 MB
  • 46 BiT BigTransfer Classifier Keras/1 BiT BigTransfer Classifier Keras.mkv 1.1 MB
  • 04 OpenCV - Image Segmentation/4 Counting Circles, Ellipses and Finding Waldo with Template Matching.mkv 1.1 MB
  • 11 Deep Learning in Computer Vision Introduction/02 Convolutions.mkv 1.1 MB
  • 50 Video Classification Usign CNN+RNN/1 Video Classification Usign CNN+RNN.mkv 1.1 MB
  • 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/6 Train Mask R-CNN Shapes Dataset.mkv 1.1 MB
  • 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4 Face Recognition PyTorch FaceNet.mkv 1.0 MB
  • 10 OpenCV - Working with Video/6 Capturing Video Using Screenshots.mkv 1.0 MB
  • 27 Object Detection/6 R-CNNs, Fast R-CNNs and Faster R-CNNs.mkv 1.0 MB
  • 12 Building CNNs in PyTorch/8 Saving Model and Displaying Results.mkv 1.0 MB
  • 48 Image Similarity Using Metric Learning/1 Image Similarity Using Metric Learning.mkv 1.0 MB
  • 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2 Facial Similarity Keras VGGFace.mkv 1.0 MB
  • 24 Generative Adversarial Networks (GANs)/3 Training GANs.mkv 1.0 MB
  • 34 Website Region Detector YOLOv4 Darknet/1 Website Region Detector YOLOv4 Darknet.mkv 1.0 MB
  • 03 OpenCV - Image Operations/08 Convolutions, Blurring and Sharpening Images.mkv 1.0 MB
  • 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/6 Detectron2.mkv 995.7 kB
  • 04 OpenCV - Image Segmentation/3 Line, Circle and Blob Detection.mkv 992.1 kB
  • 09 OpenCV Projects/07 SSDs in OpenCV.mkv 990.9 kB
  • 20 PyTorch Lightning/1 Introduction to PyTorch Lightning.mkv 989.6 kB
  • 13 Building CNNs in TensorFlow with Keras/4 Constructing the CNN.mkv 984.8 kB
  • 11 Deep Learning in Computer Vision Introduction/18 Gradient Descent.mkv 982.3 kB
  • 14 Assessing Model Performance/6 PyTorch Viewing Misclassifications.mkv 980.1 kB
  • 07 OpenCV - Motion and Object Tracking/3 Simple Object Tracking by Color.mkv 979.4 kB
  • 12 Building CNNs in PyTorch/1 Importing Required Libraries.mkv 972.2 kB
  • 03 OpenCV - Image Operations/02 Grayscaling Images.mkv 968.0 kB
  • 21 Transfer Learning and Fine Tuning/1 Transfer Learning Introduction.mkv 967.1 kB
  • 09 OpenCV Projects/02 GrabCut Algorithm for Background Removal.mkv 960.3 kB
  • 57 Deploy Your CV App Using Flask RestFUL API and Web App/2 Flask Web App.mkv 943.6 kB
  • 27 Object Detection/4 Mean Average Precision.mkv 935.4 kB
  • 45 Vision Transformers - ViTs/3 Vision Transformers in Keras.mkv 929.5 kB
  • 58 OCR Captcha Cracker/1 OCR Captcha Cracker.mkv 929.0 kB
  • 11 Deep Learning in Computer Vision Introduction/19 Optimisers and Learning Rate Schedules.mkv 919.3 kB
  • 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1 Face Recognition Overview.mkv 917.6 kB
  • 10 OpenCV - Working with Video/2 Opening Video Files in OpenCV.mkv 904.8 kB
  • 01 Introduction/4 What Are Images.mkv 895.0 kB
  • 11 Deep Learning in Computer Vision Introduction/12 Putting Together Your Convolutional Neural Network.mkv 891.7 kB
  • 06 OpenCV - Image Analysis and Transformation/5 Watershed Algorithm Marker-Dased Image Segmentation.mkv 891.2 kB
  • 51 Video Classification with Transformers/1 Video Classification with Transformers.mkv 886.8 kB
  • 16 Visualizing What CNN's Learn/2 Visualising Filter Activations.mkv 882.3 kB
  • 17 Advamced Convolutional Neural Networks/11 DenseNet.mkv 876.1 kB
  • 27 Object Detection/7 Single Shot Detectors (SSDs).mkv 860.4 kB
  • 36 Chess Piece YOLOv3/1 Chess Piece YOLOv3.mkv 858.6 kB
  • 11 Deep Learning in Computer Vision Introduction/17 Backpropagation.mkv 852.8 kB
  • 06 OpenCV - Image Analysis and Transformation/4 Filtering on Colour.mkv 852.3 kB
  • 10 OpenCV - Working with Video/4 Video Streams and CCTV - RTSP and IP.mkv 846.4 kB
  • 14 Assessing Model Performance/5 Keras - Confusion Matrix and Classification Report.mkv 846.3 kB
  • 11 Deep Learning in Computer Vision Introduction/03 Feature Detectors.mkv 844.8 kB
  • 23 Autoencoders/1 Introduction to Autoencoders.mkv 815.9 kB
  • 06 OpenCV - Image Analysis and Transformation/3 Comparing Images MSE and Structual Similarity.mkv 811.7 kB
  • 01 Introduction/3 What Makes Computer Vision Hard.mkv 811.4 kB
  • 11 Deep Learning in Computer Vision Introduction/09 Pooling.mkv 810.5 kB
  • 13 Building CNNs in TensorFlow with Keras/5 Training the Model.mkv 808.6 kB
  • 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/5 EfficientDet.mkv 803.4 kB
  • 11 Deep Learning in Computer Vision Introduction/16 Loss Functions.mkv 792.3 kB
  • 25 Siamese Network/1 Introduction to Siamese Networks.mkv 790.3 kB
  • 17 Advamced Convolutional Neural Networks/08 InceptionV3.mkv 780.5 kB
  • 13 Building CNNs in TensorFlow with Keras/6 Plotting the Training Results.mkv 769.2 kB
  • 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/1 Introduction to YOLO.mkv 761.4 kB
  • 17 Advamced Convolutional Neural Networks/12 The ImageNet Dataset.mkv 756.3 kB
  • 11 Deep Learning in Computer Vision Introduction/15 Training a CNN.mkv 755.1 kB
  • 09 OpenCV Projects/11 Detect Blur in Images.mkv 754.5 kB
  • 22 Google DeepStream and Neural Style Transfer/1 Introduction to Google DeepDream Visualizations.mkv 736.5 kB
  • 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/4 YOLO Evolution.mkv 735.1 kB
  • 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/2 How YOLO Works.mkv 734.0 kB
  • 24 Generative Adversarial Networks (GANs)/9 ArcaneGAN.mkv 729.0 kB
  • 14 Assessing Model Performance/2 Assessing Model Performance.mkv 716.5 kB
  • 16 Visualizing What CNN's Learn/1 Visualizing CNN Filters or Feature Maps.mkv 715.5 kB
  • 08 OpenCV - Facial Landmark Detection and Face Swaps/1 Facial Landmark Detection with Dlib.mkv 713.2 kB
  • 24 Generative Adversarial Networks (GANs)/1 Introduction to GANs.mkv 711.8 kB
  • 10 OpenCV - Working with Video/3 Saving or Recording Videos in OpenCV.mkv 710.9 kB
  • 04 OpenCV - Image Segmentation/5 Finding Corners.mkv 703.9 kB
  • 10 OpenCV - Working with Video/5 Auto Reconnect to Video Streams.mkv 696.1 kB
  • 24 Generative Adversarial Networks (GANs)/8 AnimeGAN.mkv 687.5 kB
  • 45 Vision Transformers - ViTs/1 Introduction to Vision Transformers.mkv 684.4 kB
  • 17 Advamced Convolutional Neural Networks/10 EfficientNet.mkv 680.7 kB
  • 38 Hard Hat Detector EfficentDet/1 Hard Hat Detector EfficentDet.mkv 664.9 kB
  • 24 Generative Adversarial Networks (GANs)/2 How Do GANs Work.mkv 659.2 kB
  • 42 Body Pose Estimation/1 Body Pose Estimation.mkv 657.9 kB
  • 11 Deep Learning in Computer Vision Introduction/07 Stride.mkv 648.2 kB
  • 16 Visualizing What CNN's Learn/5 Class Maximization.mkv 648.1 kB
  • 11 Deep Learning in Computer Vision Introduction/13 Parameter Counts in CNNs.mkv 643.2 kB
  • 17 Advamced Convolutional Neural Networks/04 VGG16 and VGG19.mkv 637.4 kB
  • 13 Building CNNs in TensorFlow with Keras/3 Preprocessing Our Data.mkv 628.7 kB
  • 12 Building CNNs in PyTorch/4 Data Loaders.mkv 627.8 kB
  • 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/3 Training YOLO.mkv 626.4 kB
  • 13 Building CNNs in TensorFlow with Keras/1 Loading Data.mkv 626.3 kB
  • 11 Deep Learning in Computer Vision Introduction/08 Activation Functions.mkv 625.3 kB
  • 14 Assessing Model Performance/7 PyTorch - Confusion Matrix and Misclassifications.mkv 624.8 kB
  • 15 Improving Models and Advanced CNN Design/07 Batch Normalization.mkv 609.9 kB
  • 17 Advamced Convolutional Neural Networks/09 SqueezeNet.mkv 609.4 kB
  • 11 Deep Learning in Computer Vision Introduction/01 Introduction to Convolution Neural Networks.mkv 608.1 kB
  • 13 Building CNNs in TensorFlow with Keras/2 View and Inspect Data.mkv 599.5 kB
  • 17 Advamced Convolutional Neural Networks/05 ResNets.mkv 584.3 kB
  • 11 Deep Learning in Computer Vision Introduction/04 3D Convolutions and Color Images.mkv 575.8 kB
  • 12 Building CNNs in PyTorch/9 Plot and Visualize Your Results.mkv 563.6 kB
  • 15 Improving Models and Advanced CNN Design/04 L1 and L2 Regularization.mkv 562.6 kB
  • 17 Advamced Convolutional Neural Networks/06 Why ResNets Work So Well.mkv 559.8 kB
  • 21 Transfer Learning and Fine Tuning/6 PyTorch Transfer Learning and Freezing Network Layers.mkv 556.0 kB
  • 19 Using Callbacks in Keras and PyTorch/1 What Are Callbacks.mkv 555.1 kB
  • 11 Deep Learning in Computer Vision Introduction/14 Why CNNs Work So Well on Images.mkv 545.3 kB
  • 16 Visualizing What CNN's Learn/4 Maximizing Filters.mkv 542.9 kB
  • 15 Improving Models and Advanced CNN Design/05 Data Augmentation.mkv 541.9 kB
  • 09 OpenCV Projects/09 Inpainting to Restore Damaged Photos.mkv 539.2 kB
  • 11 Deep Learning in Computer Vision Introduction/05 Kernel Size and Depth.mkv 536.5 kB
  • 17 Advamced Convolutional Neural Networks/02 LeNet.mkv 524.1 kB
  • 12 Building CNNs in PyTorch/2 Transformation Pipeline.mkv 516.9 kB
  • 11 Deep Learning in Computer Vision Introduction/06 Padding.mkv 474.2 kB
  • 17 Advamced Convolutional Neural Networks/03 AlexNet.mkv 461.6 kB
  • 25 Siamese Network/2 Training Siamese Networks.mkv 450.1 kB
  • 02 Download Code and Setup Colab/2 Setup - Download Code and Configure Colab.mkv 422.0 kB
  • 15 Improving Models and Advanced CNN Design/06 Early Stopping.mkv 417.0 kB
  • 17 Advamced Convolutional Neural Networks/01 History and Evolution of Convolutional Neural Networks.mkv 404.7 kB
  • 16 Visualizing What CNN's Learn/7 Grad-CAM Visualize What Influences Your Model.mkv 393.5 kB
  • 15 Improving Models and Advanced CNN Design/03 Drop Out.mkv 392.0 kB
  • 11 Deep Learning in Computer Vision Introduction/10 Fully Connected Layers.mkv 375.1 kB
  • 27 Object Detection/3 Intersection Over Union.mkv 371.4 kB
  • 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4 The Top-N or Rank-N Accuracy Metric.mkv 359.3 kB
  • 27 Object Detection/5 Non Maximum Suppression.mkv 357.3 kB
  • 11 Deep Learning in Computer Vision Introduction/11 Softmax.mkv 340.1 kB
  • 12 Building CNNs in PyTorch/6 Optimisers and Loss Function.mkv 304.5 kB
  • 15 Improving Models and Advanced CNN Design/08 When Do We Use Regularization.mkv 286.7 kB
  • 15 Improving Models and Advanced CNN Design/02 Introduction to Regularization.mkv 248.9 kB
  • 02 Download Code and Setup Colab/1 Download Course Resources.html 588 Bytes
  • Readme.txt 108 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！