PyImageSearch University - Complete Bundle (7.2023)

磁力链接/BT种子名称

PyImageSearch University - Complete Bundle (7.2023)

磁力链接/BT种子简介

种子哈希：e9c2b4d91a74174004bc391355c5af2d1b8de613
文件大小： 37.2G
已经下载：162次
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收录时间：2025-07-09
最近下载：2025-10-19

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文件列表

  • 17 PyTorch 103 - Advanced PyTorch techniques/00003.mp4 1.9 GB
  • 16 PyTorch 102 — Intermediate PyTorch for CV techniques/00002.mp4 1.6 GB
  • 12 - Deep Learning 105 — Hands-on Experience with CNNs/00008.mp4 1.4 GB
  • Extras/Deep Learning 301 — Advanced Topics/00003.mp4 1.1 GB
  • 15 PyTorch 101 — Fundamentals of PyTorch/00003.mp4 1.1 GB
  • Extras/OCR 120/00001.mp4 1.1 GB
  • 12 - Deep Learning 105 — Hands-on Experience with CNNs/00001.mp4 951.7 MB
  • 13 - Deep Learning 125 — Data Pipelines with tf.data/00003.mp4 912.8 MB
  • 13 - Deep Learning 125 — Data Pipelines with tf.data/00001.mp4 908.9 MB
  • 26 OCR 210 — EasyOCR, Aligning Documents, and OCR'ing Documents/00003.mp4 811.9 MB
  • Extras/GANs 101/00004.mp4 784.4 MB
  • Extras/GANs 201/00001.mp4 781.2 MB
  • 16 PyTorch 102 — Intermediate PyTorch for CV techniques/00001.mp4 765.0 MB
  • 15 PyTorch 101 — Fundamentals of PyTorch/00002.mp4 749.4 MB
  • Extras/GANs 101/00002.mp4 722.8 MB
  • 13 - Deep Learning 125 — Data Pipelines with tf.data/00002.mp4 712.7 MB
  • 12 - Deep Learning 105 — Hands-on Experience with CNNs/00009.mp4 698.1 MB
  • 12 - Deep Learning 105 — Hands-on Experience with CNNs/00005.mp4 670.0 MB
  • Extras/OCR 120/00005.mp4 654.7 MB
  • 11 - Deep Learning 104 — Convolutional Neural Networks (CNNs)/00002.mp4 648.6 MB
  • 26 OCR 210 — EasyOCR, Aligning Documents, and OCR'ing Documents/00002.mp4 630.4 MB
  • 15 PyTorch 101 — Fundamentals of PyTorch/00005.mp4 537.3 MB
  • 12 - Deep Learning 105 — Hands-on Experience with CNNs/00004.mp4 537.0 MB
  • 15 PyTorch 101 — Fundamentals of PyTorch/00001.mp4 536.2 MB
  • Extras/OCR 220/00002.mp4 530.8 MB
  • 11 - Deep Learning 104 — Convolutional Neural Networks (CNNs)/00001.mp4 506.0 MB
  • Extras/OCR 120/00004.mp4 501.2 MB
  • Extras/OCR 201/00002.mp4 474.7 MB
  • 25 OCR 110 — Using Tesseract for Translation and Non-English Languages/00005.mp4 469.7 MB
  • 12 - Deep Learning 105 — Hands-on Experience with CNNs/00007.mp4 460.6 MB
  • Extras/GANs 101/00003.mp4 445.2 MB
  • Extras/OCR 120/00002.mp4 443.8 MB
  • 15 PyTorch 101 — Fundamentals of PyTorch/00004.mp4 409.1 MB
  • 12 - Deep Learning 105 — Hands-on Experience with CNNs/00003.mp4 396.3 MB
  • 26 OCR 210 — EasyOCR, Aligning Documents, and OCR'ing Documents/00001.mp4 380.9 MB
  • Extras/GANs 101/00001.mp4 371.4 MB
  • Extras/Deep Learning 107 — Basic Real-world Projects/00003.mp4 348.5 MB
  • Extras/OCR 220/00001.mp4 342.2 MB
  • 24 OCR 101 — Fundamentals of Optical Character Recognition/00001.mp4 340.2 MB
  • Extras/Deep Learning 107 — Basic Real-world Projects/00001.mp4 321.8 MB
  • Extras/Deep Learning 106 — Improving Accuracy of CNNs/00002.mp4 317.8 MB
  • 12 - Deep Learning 105 — Hands-on Experience with CNNs/00002.mp4 305.3 MB
  • 24 OCR 101 — Fundamentals of Optical Character Recognition/00003.mp4 301.1 MB
  • Extras/OCR 220/00004.mp4 296.5 MB
  • Extras/Deep Learning 301 — Advanced Topics/00002.mp4 294.3 MB
  • 25 OCR 110 — Using Tesseract for Translation and Non-English Languages/00004.mp4 237.2 MB
  • Extras/Deep Learning 107 — Basic Real-world Projects/00004.mp4 236.9 MB
  • 25 OCR 110 — Using Tesseract for Translation and Non-English Languages/00002.mp4 236.0 MB
  • 25 OCR 110 — Using Tesseract for Translation and Non-English Languages/00003.mp4 235.4 MB
  • 12 - Deep Learning 105 — Hands-on Experience with CNNs/00006.mp4 230.8 MB
  • Extras/OCR 130/00004.mp4 224.3 MB
  • Extras/OCR 201/00001.mp4 223.9 MB
  • 22 Object Detection 201 - Fundamentals of Deep Learning Object Detection/1.Turning Any Deep Learning Image Classifier into an Object Detector.mp4 221.2 MB
  • 16 PyTorch 102 — Intermediate PyTorch for CV techniques/00003.mp4 215.7 MB
  • 19 Siamese Networks 101 - Intro to Siamese Networks/4.Improving Accuracy with Contrastlive Loss.mp4 212.6 MB
  • 17 PyTorch 103 - Advanced PyTorch techniques/00002.mp4 203.6 MB
  • 24 OCR 101 — Fundamentals of Optical Character Recognition/00002.mp4 202.1 MB
  • Extras/Deep Learning 301 — Advanced Topics/00001.mp4 201.1 MB
  • 17 PyTorch 103 - Advanced PyTorch techniques/00001.mp4 194.4 MB
  • Extras/Deep Learning 106 — Improving Accuracy of CNNs/00003.mp4 181.8 MB
  • 22 Object Detection 201 - Fundamentals of Deep Learning Object Detection/4.Training Your Own R-CNN Object Detector.mp4 178.2 MB
  • 11 - Deep Learning 104 — Convolutional Neural Networks (CNNs)/00003.mp4 177.9 MB
  • Extras/OCR 130/00003.mp4 173.5 MB
  • Extras/OCR 120/00003.mp4 168.1 MB
  • 20 Image Adversaries 101 - Intro to Image Adversaries/4.Defending Against Adverserial Attacks.mp4 166.4 MB
  • 23 Object Detection 202 - Bounding Box Regression/2.Multi-class Bounding Box Regression.mp4 146.2 MB
  • Extras/OCR 220/00003.mp4 140.1 MB
  • 10 - Deep Learning 103 - Neural Network Fundamentals/4.Implementing Feedforward Neural Networks with Keras and TensorFlow.mp4 139.6 MB
  • 25 OCR 110 — Using Tesseract for Translation and Non-English Languages/00001.mp4 136.4 MB
  • Extras/Deep Learning 107 — Basic Real-world Projects/00002.mp4 129.3 MB
  • 19 Siamese Networks 101 - Intro to Siamese Networks/3.Comparing Images for Similarity with Siamese Networks.mp4 128.8 MB
  • Extras/OCR 130/00001.mp4 127.3 MB
  • Extras/Deep Learning 106 — Improving Accuracy of CNNs/00001.mp4 126.9 MB
  • 19 Siamese Networks 101 - Intro to Siamese Networks/1.Building Image Pairs for Siamese Networks.mp4 126.5 MB
  • 20 Image Adversaries 101 - Intro to Image Adversaries/1.Adversarial Images and Attacks with Keras and TensorFlow.mp4 114.3 MB
  • 07 Augmented Reality 101 - Fiducials and Markers/6.Real-time Augmented Reality with OpenCV.mp4 113.6 MB
  • 07 Augmented Reality 101 - Fiducials and Markers/2.Generating ArUco Markers with OpenCV.mp4 110.1 MB
  • 06 Face Recognition 101 - Fundamentals of Facial Recognition/1.What Is Face Recognition#.mp4 103.2 MB
  • 18 Autoencoders 101 - Intro to Autoencoders/2.Denoising Autoencoders with Keras and TensorFlow.mp4 102.3 MB
  • 22 Object Detection 201 - Fundamentals of Deep Learning Object Detection/2.Selective Search for Object Detection.mp4 102.2 MB
  • 12 - Deep Learning 120 - Regression with CNNs/2.Regression with CNNs.mp4 99.9 MB
  • 20 Image Adversaries 101 - Intro to Image Adversaries/2.Targeted Adversarial Attacks with Keras and TensorFlow.mp4 97.3 MB
  • 07 Augmented Reality 101 - Fiducials and Markers/1.AprilTag Detection.mp4 97.2 MB
  • 07 Augmented Reality 101 - Fiducials and Markers/4.Automatically Determining ArUcO Marker Type.mp4 94.0 MB
  • 18 Autoencoders 101 - Intro to Autoencoders/4.Autoencoders for Content-based Image Retrieval (CBIR).mp4 93.9 MB
  • 12 - Deep Learning 120 - Regression with CNNs/3.Combining Categorical, Numerical, and Image Data Into a Single Neural Network.mp4 93.5 MB
  • 14 Deep Learning 130 - Hyperparameter Tuning/4.Easy Hyperparameter Tuning with Keras Tuner.mp4 93.2 MB
  • 20 Image Adversaries 101 - Intro to Image Adversaries/5.Mixing Normal Images and Adversarial Images when Training CNNs.mp4 92.6 MB
  • 23 Object Detection 202 - Bounding Box Regression/1.Bounding Box Regression.mp4 91.8 MB
  • 03 OpenCV 104 - Histograms/2.Histogram and Adaptive Histogram Equalization.mp4 91.6 MB
  • 09 Deep Learning 102 - Optimization Methods and Regularization/4.Regularization Techniques.mp4 90.4 MB
  • 19 Siamese Networks 101 - Intro to Siamese Networks/2.Implementing Your First Siamese Network with Keras and TensorFlow.mp4 88.4 MB
  • 02 OpenCV 102 - Basic Image Processing Operations/1.Kernels.mp4 86.8 MB
  • 04 Face Applications 101 - Face Detection/4.Choosing a Face Detection Method.mp4 86.3 MB
  • 07 Augmented Reality 101 - Fiducials and Markers/3.Detecting ArUco Markers with OpenCV.mp4 86.2 MB
  • 10 - Deep Learning 103 - Neural Network Fundamentals/3.Backpropagation from Scratch with Python.mp4 85.3 MB
  • 07 Augmented Reality 101 - Fiducials and Markers/5.Augmented Reality with ArUco Markers.mp4 85.2 MB
  • 21 Object Detection 101 - Easy Object Detection/4.Multi-scale Template Matching.mp4 84.9 MB
  • 18 Autoencoders 101 - Intro to Autoencoders/1.Autoencoders with Keras and TensorFlow.mp4 84.8 MB
  • 12 - Deep Learning 120 - Regression with CNNs/1.Regression with Neural Networks.mp4 84.6 MB
  • 06 Face Recognition 101 - Fundamentals of Facial Recognition/2.Face Recognition with Local Binary Patterns.mp4 82.6 MB
  • 03 OpenCV 104 - Histograms/6.Detecting Low Contrast Images.mp4 81.1 MB
  • 05 Face Applications 102 - Fundamentals of Facial Landmarks/4.5-point Facial Landmark Detection.mp4 78.6 MB
  • 04 Face Applications 101 - Face Detection/2.Deep Learning Face Detection with OpenCV.mp4 75.1 MB
  • 21 Object Detection 101 - Easy Object Detection/2.Template Matching with OpenCV.mp4 73.9 MB
  • Extras/OCR 130/00002.mp4 73.4 MB
  • 14 Deep Learning 130 - Hyperparameter Tuning/1.Introduction to Hyperparameter Tuning.mp4 72.5 MB
  • 20 Image Adversaries 101 - Intro to Image Adversaries/3.Adversarial Attacks with FGSM (Fast Gradient Signed Method.mp4 72.2 MB
  • 22 Object Detection 201 - Fundamentals of Deep Learning Object Detection/3.Region Proposal Object Detection.mp4 70.2 MB
  • 03 OpenCV 104 - Histograms/1.Image Histograms.mp4 69.4 MB
  • 10 - Deep Learning 103 - Neural Network Fundamentals/5.The 4 Key Ingredients When Training Any Neural Network.mp4 67.4 MB
  • 09 Deep Learning 102 - Optimization Methods and Regularization/3.Gradient Descent Algorithms and Variations.mp4 65.8 MB
  • 21 Object Detection 101 - Easy Object Detection/1.Shape Detection with OpenCV.mp4 65.0 MB
  • 21 Object Detection 101 - Easy Object Detection/3.Multi-template Matching.mp4 61.8 MB
  • 08 Deep Learning 101 - Neural Networks and Parameterized Learning/2.Image Classification Basics.mp4 60.3 MB
  • 14 Deep Learning 130 - Hyperparameter Tuning/2.Hyperparameter Tuning for Computer Vision Projects.mp4 59.6 MB
  • 03 OpenCV 104 - Histograms/5.Automatic Color Correction.mp4 57.8 MB
  • 03 OpenCV 104 - Histograms/4.Gamma Correction.mp4 57.5 MB
  • 04 Face Applications 101 - Face Detection/3.Deep Learning Face Detection with Dlib.mp4 57.0 MB
  • 21 Object Detection 101 - Easy Object Detection/7.Real-time Deep Learning Object Detection with OpenCV.mp4 56.2 MB
  • 14 Deep Learning 130 - Hyperparameter Tuning/3.Using scikit-learn to Tune Deep Learning Model Hyperparameters.mp4 56.1 MB
  • 05 Face Applications 102 - Fundamentals of Facial Landmarks/2.Detecting Eyes, Nose, Lips, and Jaw with OpenCV.mp4 54.8 MB
  • 05 Face Applications 102 - Fundamentals of Facial Landmarks/3.Real-time Facial Landmark Detection.mp4 53.8 MB
  • 18 Autoencoders 101 - Intro to Autoencoders/3.Anomaly Detection with Autoencoders.mp4 52.1 MB
  • 21 Object Detection 101 - Easy Object Detection/5.Haar Cascades with OpenCV.mp4 51.3 MB
  • 21 Object Detection 101 - Easy Object Detection/6.Deep Learning Object Detectors with OpenCV.mp4 51.0 MB
  • 02 OpenCV 102 - Basic Image Processing Operations/9.Automatic Edge Detection.mp4 48.6 MB
  • 02 OpenCV 102 - Basic Image Processing Operations/8.Edge Detection.mp4 47.9 MB
  • 02 OpenCV 102 - Basic Image Processing Operations/4.Color Spaces.mp4 47.5 MB
  • 05 Face Applications 102 - Fundamentals of Facial Landmarks/1.Facial Landmarks with Dlib and and OpenCV.mp4 43.0 MB
  • 09 Deep Learning 102 - Optimization Methods and Regularization/1.Understanding and Implementing Gradient Descent.mp4 42.4 MB
  • 03 OpenCV 104 - Histograms/3.Histogram Matching.mp4 38.6 MB
  • 01 OpenCV 101 - OpenCV Basics/4.Translation.mp4 37.7 MB
  • 10 - Deep Learning 103 - Neural Network Fundamentals/2.Implementing the Perceptron Neural Network with Python.mp4 37.4 MB
  • 02 OpenCV 102 - Basic Image Processing Operations/5.Basic Thresholding.mp4 37.3 MB
  • 01 OpenCV 101 - OpenCV Basics/10.Bitwise Operations.mp4 37.0 MB
  • 09 Deep Learning 102 - Optimization Methods and Regularization/2.Stochastic Gradient Descent (SGD).mp4 36.7 MB
  • 01 OpenCV 101 - OpenCV Basics/11.Masking.mp4 36.1 MB
  • 04 Face Applications 101 - Face Detection/1.Face Detection with Haar Cascades.mp4 35.5 MB
  • 02 OpenCV 102 - Basic Image Processing Operations/6.Adaptive Thresholding.mp4 35.2 MB
  • 01 OpenCV 101 - OpenCV Basics/12.Splitting and Merging Channels.mp4 34.5 MB
  • 06 Face Recognition 101 - Fundamentals of Facial Recognition/3.OpenCV Eigenfaces for Face Recognition.mp4 34.1 MB
  • 01 OpenCV 101 - OpenCV Basics/7.Flipping.mp4 33.5 MB
  • 02 OpenCV 102 - Basic Image Processing Operations/3.Smoothing and Blurring.mp4 32.4 MB
  • 02 OpenCV 102 - Basic Image Processing Operations/7.Image Gradients.mp4 27.6 MB
  • 08 Deep Learning 101 - Neural Networks and Parameterized Learning/5.Parameterized Learning and Neural Networks.mp4 27.3 MB
  • 01 OpenCV 101 - OpenCV Basics/8.Cropping.mp4 26.8 MB
  • 02 OpenCV 102 - Basic Image Processing Operations/2.Morphological Operations.mp4 24.5 MB
  • 01 OpenCV 101 - OpenCV Basics/5.Rotation.mp4 24.3 MB
  • 01 OpenCV 101 - OpenCV Basics/1.Loading and Displaying Images.mp4 24.2 MB
  • 08 Deep Learning 101 - Neural Networks and Parameterized Learning/1.What is Deep Learning#.mp4 23.7 MB
  • 10 - Deep Learning 103 - Neural Network Fundamentals/6.Understanding Weight Initialization for Neural Networks.mp4 22.8 MB
  • 10 - Deep Learning 103 - Neural Network Fundamentals/1.Introduction to Neural Networks.mp4 22.8 MB
  • 01 OpenCV 101 - OpenCV Basics/9.Image Arithmetic.mp4 20.3 MB
  • 08 Deep Learning 101 - Neural Networks and Parameterized Learning/4.Your First Image Classifier# Using k-NN to Classify Images.mp4 18.8 MB
  • 01 OpenCV 101 - OpenCV Basics/3.Drawing with OpenCV.mp4 17.3 MB
  • 01 OpenCV 101 - OpenCV Basics/2.Getting and Setting Pixels.mp4 14.6 MB
  • 08 Deep Learning 101 - Neural Networks and Parameterized Learning/3.The Deep Learning Classification Pipeline.mp4 12.6 MB
  • 01 OpenCV 101 - OpenCV Basics/6.Resizing.mp4 7.2 MB
  • Extras/Esses cursos não possuem ordem no site oficial.txt 38 Bytes

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