PyImageSearch University - Complete Bundle (7.2023)
File List
- 17 PyTorch 103 - Advanced PyTorch techniques/00003.mp4 1.8 GB
- 16 PyTorch 102 — Intermediate PyTorch for CV techniques/00002.mp4 1.5 GB
- 12 - Deep Learning 105 — Hands-on Experience with CNNs/00008.mp4 1.3 GB
- Extras/Deep Learning 301 — Advanced Topics/00003.mp4 1.1 GB
- 15 PyTorch 101 — Fundamentals of PyTorch/00003.mp4 1.0 GB
- Extras/OCR 120/00001.mp4 1.0 GB
- 12 - Deep Learning 105 — Hands-on Experience with CNNs/00001.mp4 907.6 MB
- 13 - Deep Learning 125 — Data Pipelines with tf.data/00003.mp4 870.5 MB
- 13 - Deep Learning 125 — Data Pipelines with tf.data/00001.mp4 866.8 MB
- 26 OCR 210 — EasyOCR, Aligning Documents, and OCR'ing Documents/00003.mp4 774.3 MB
- Extras/GANs 101/00004.mp4 748.1 MB
- Extras/GANs 201/00001.mp4 745.0 MB
- 16 PyTorch 102 — Intermediate PyTorch for CV techniques/00001.mp4 729.6 MB
- 15 PyTorch 101 — Fundamentals of PyTorch/00002.mp4 714.7 MB
- Extras/GANs 101/00002.mp4 689.3 MB
- 13 - Deep Learning 125 — Data Pipelines with tf.data/00002.mp4 679.7 MB
- 12 - Deep Learning 105 — Hands-on Experience with CNNs/00009.mp4 665.7 MB
- 12 - Deep Learning 105 — Hands-on Experience with CNNs/00005.mp4 639.0 MB
- Extras/OCR 120/00005.mp4 624.4 MB
- 11 - Deep Learning 104 — Convolutional Neural Networks (CNNs)/00002.mp4 618.6 MB
- 26 OCR 210 — EasyOCR, Aligning Documents, and OCR'ing Documents/00002.mp4 601.2 MB
- 15 PyTorch 101 — Fundamentals of PyTorch/00005.mp4 512.4 MB
- 12 - Deep Learning 105 — Hands-on Experience with CNNs/00004.mp4 512.1 MB
- 15 PyTorch 101 — Fundamentals of PyTorch/00001.mp4 511.3 MB
- Extras/OCR 220/00002.mp4 506.2 MB
- 11 - Deep Learning 104 — Convolutional Neural Networks (CNNs)/00001.mp4 482.5 MB
- Extras/OCR 120/00004.mp4 478.0 MB
- Extras/OCR 201/00002.mp4 452.7 MB
- 25 OCR 110 — Using Tesseract for Translation and Non-English Languages/00005.mp4 447.9 MB
- 12 - Deep Learning 105 — Hands-on Experience with CNNs/00007.mp4 439.3 MB
- Extras/GANs 101/00003.mp4 424.6 MB
- Extras/OCR 120/00002.mp4 423.3 MB
- 15 PyTorch 101 — Fundamentals of PyTorch/00004.mp4 390.2 MB
- 12 - Deep Learning 105 — Hands-on Experience with CNNs/00003.mp4 377.9 MB
- 26 OCR 210 — EasyOCR, Aligning Documents, and OCR'ing Documents/00001.mp4 363.2 MB
- Extras/GANs 101/00001.mp4 354.2 MB
- Extras/Deep Learning 107 — Basic Real-world Projects/00003.mp4 332.3 MB
- Extras/OCR 220/00001.mp4 326.3 MB
- 24 OCR 101 — Fundamentals of Optical Character Recognition/00001.mp4 324.4 MB
- Extras/Deep Learning 107 — Basic Real-world Projects/00001.mp4 306.9 MB
- Extras/Deep Learning 106 — Improving Accuracy of CNNs/00002.mp4 303.1 MB
- 12 - Deep Learning 105 — Hands-on Experience with CNNs/00002.mp4 291.2 MB
- 24 OCR 101 — Fundamentals of Optical Character Recognition/00003.mp4 287.1 MB
- Extras/OCR 220/00004.mp4 282.7 MB
- Extras/Deep Learning 301 — Advanced Topics/00002.mp4 280.7 MB
- 25 OCR 110 — Using Tesseract for Translation and Non-English Languages/00004.mp4 226.2 MB
- Extras/Deep Learning 107 — Basic Real-world Projects/00004.mp4 226.0 MB
- 25 OCR 110 — Using Tesseract for Translation and Non-English Languages/00002.mp4 225.1 MB
- 25 OCR 110 — Using Tesseract for Translation and Non-English Languages/00003.mp4 224.5 MB
- 12 - Deep Learning 105 — Hands-on Experience with CNNs/00006.mp4 220.1 MB
- Extras/OCR 130/00004.mp4 213.9 MB
- Extras/OCR 201/00001.mp4 213.6 MB
- 22 Object Detection 201 - Fundamentals of Deep Learning Object Detection/1.Turning Any Deep Learning Image Classifier into an Object Detector.mp4 210.9 MB
- 16 PyTorch 102 — Intermediate PyTorch for CV techniques/00003.mp4 205.7 MB
- 19 Siamese Networks 101 - Intro to Siamese Networks/4.Improving Accuracy with Contrastlive Loss.mp4 202.7 MB
- 17 PyTorch 103 - Advanced PyTorch techniques/00002.mp4 194.1 MB
- 24 OCR 101 — Fundamentals of Optical Character Recognition/00002.mp4 192.7 MB
- Extras/Deep Learning 301 — Advanced Topics/00001.mp4 191.7 MB
- 17 PyTorch 103 - Advanced PyTorch techniques/00001.mp4 185.4 MB
- Extras/Deep Learning 106 — Improving Accuracy of CNNs/00003.mp4 173.4 MB
- 22 Object Detection 201 - Fundamentals of Deep Learning Object Detection/4.Training Your Own R-CNN Object Detector.mp4 169.9 MB
- 11 - Deep Learning 104 — Convolutional Neural Networks (CNNs)/00003.mp4 169.7 MB
- Extras/OCR 130/00003.mp4 165.5 MB
- Extras/OCR 120/00003.mp4 160.3 MB
- 20 Image Adversaries 101 - Intro to Image Adversaries/4.Defending Against Adverserial Attacks.mp4 158.7 MB
- 23 Object Detection 202 - Bounding Box Regression/2.Multi-class Bounding Box Regression.mp4 139.4 MB
- Extras/OCR 220/00003.mp4 133.6 MB
- 10 - Deep Learning 103 - Neural Network Fundamentals/4.Implementing Feedforward Neural Networks with Keras and TensorFlow.mp4 133.2 MB
- 25 OCR 110 — Using Tesseract for Translation and Non-English Languages/00001.mp4 130.0 MB
- Extras/Deep Learning 107 — Basic Real-world Projects/00002.mp4 123.4 MB
- 19 Siamese Networks 101 - Intro to Siamese Networks/3.Comparing Images for Similarity with Siamese Networks.mp4 122.8 MB
- Extras/OCR 130/00001.mp4 121.4 MB
- Extras/Deep Learning 106 — Improving Accuracy of CNNs/00001.mp4 121.0 MB
- 19 Siamese Networks 101 - Intro to Siamese Networks/1.Building Image Pairs for Siamese Networks.mp4 120.6 MB
- 20 Image Adversaries 101 - Intro to Image Adversaries/1.Adversarial Images and Attacks with Keras and TensorFlow.mp4 109.0 MB
- 07 Augmented Reality 101 - Fiducials and Markers/6.Real-time Augmented Reality with OpenCV.mp4 108.4 MB
- 07 Augmented Reality 101 - Fiducials and Markers/2.Generating ArUco Markers with OpenCV.mp4 105.0 MB
- 06 Face Recognition 101 - Fundamentals of Facial Recognition/1.What Is Face Recognition#.mp4 98.4 MB
- 18 Autoencoders 101 - Intro to Autoencoders/2.Denoising Autoencoders with Keras and TensorFlow.mp4 97.5 MB
- 22 Object Detection 201 - Fundamentals of Deep Learning Object Detection/2.Selective Search for Object Detection.mp4 97.5 MB
- 12 - Deep Learning 120 - Regression with CNNs/2.Regression with CNNs.mp4 95.2 MB
- 20 Image Adversaries 101 - Intro to Image Adversaries/2.Targeted Adversarial Attacks with Keras and TensorFlow.mp4 92.8 MB
- 07 Augmented Reality 101 - Fiducials and Markers/1.AprilTag Detection.mp4 92.7 MB
- 07 Augmented Reality 101 - Fiducials and Markers/4.Automatically Determining ArUcO Marker Type.mp4 89.6 MB
- 18 Autoencoders 101 - Intro to Autoencoders/4.Autoencoders for Content-based Image Retrieval (CBIR).mp4 89.6 MB
- 12 - Deep Learning 120 - Regression with CNNs/3.Combining Categorical, Numerical, and Image Data Into a Single Neural Network.mp4 89.2 MB
- 14 Deep Learning 130 - Hyperparameter Tuning/4.Easy Hyperparameter Tuning with Keras Tuner.mp4 88.8 MB
- 20 Image Adversaries 101 - Intro to Image Adversaries/5.Mixing Normal Images and Adversarial Images when Training CNNs.mp4 88.3 MB
- 23 Object Detection 202 - Bounding Box Regression/1.Bounding Box Regression.mp4 87.6 MB
- 03 OpenCV 104 - Histograms/2.Histogram and Adaptive Histogram Equalization.mp4 87.4 MB
- 09 Deep Learning 102 - Optimization Methods and Regularization/4.Regularization Techniques.mp4 86.2 MB
- 19 Siamese Networks 101 - Intro to Siamese Networks/2.Implementing Your First Siamese Network with Keras and TensorFlow.mp4 84.3 MB
- 02 OpenCV 102 - Basic Image Processing Operations/1.Kernels.mp4 82.8 MB
- 04 Face Applications 101 - Face Detection/4.Choosing a Face Detection Method.mp4 82.3 MB
- 07 Augmented Reality 101 - Fiducials and Markers/3.Detecting ArUco Markers with OpenCV.mp4 82.2 MB
- 10 - Deep Learning 103 - Neural Network Fundamentals/3.Backpropagation from Scratch with Python.mp4 81.3 MB
- 07 Augmented Reality 101 - Fiducials and Markers/5.Augmented Reality with ArUco Markers.mp4 81.3 MB
- 21 Object Detection 101 - Easy Object Detection/4.Multi-scale Template Matching.mp4 81.0 MB
- 18 Autoencoders 101 - Intro to Autoencoders/1.Autoencoders with Keras and TensorFlow.mp4 80.8 MB
- 12 - Deep Learning 120 - Regression with CNNs/1.Regression with Neural Networks.mp4 80.7 MB
- 06 Face Recognition 101 - Fundamentals of Facial Recognition/2.Face Recognition with Local Binary Patterns.mp4 78.8 MB
- 03 OpenCV 104 - Histograms/6.Detecting Low Contrast Images.mp4 77.4 MB
- 05 Face Applications 102 - Fundamentals of Facial Landmarks/4.5-point Facial Landmark Detection.mp4 75.0 MB
- 04 Face Applications 101 - Face Detection/2.Deep Learning Face Detection with OpenCV.mp4 71.6 MB
- 21 Object Detection 101 - Easy Object Detection/2.Template Matching with OpenCV.mp4 70.4 MB
- Extras/OCR 130/00002.mp4 70.0 MB
- 14 Deep Learning 130 - Hyperparameter Tuning/1.Introduction to Hyperparameter Tuning.mp4 69.2 MB
- 20 Image Adversaries 101 - Intro to Image Adversaries/3.Adversarial Attacks with FGSM (Fast Gradient Signed Method.mp4 68.8 MB
- 22 Object Detection 201 - Fundamentals of Deep Learning Object Detection/3.Region Proposal Object Detection.mp4 67.0 MB
- 03 OpenCV 104 - Histograms/1.Image Histograms.mp4 66.2 MB
- 10 - Deep Learning 103 - Neural Network Fundamentals/5.The 4 Key Ingredients When Training Any Neural Network.mp4 64.3 MB
- 09 Deep Learning 102 - Optimization Methods and Regularization/3.Gradient Descent Algorithms and Variations.mp4 62.7 MB
- 21 Object Detection 101 - Easy Object Detection/1.Shape Detection with OpenCV.mp4 62.0 MB
- 21 Object Detection 101 - Easy Object Detection/3.Multi-template Matching.mp4 58.9 MB
- 08 Deep Learning 101 - Neural Networks and Parameterized Learning/2.Image Classification Basics.mp4 57.5 MB
- 14 Deep Learning 130 - Hyperparameter Tuning/2.Hyperparameter Tuning for Computer Vision Projects.mp4 56.8 MB
- 03 OpenCV 104 - Histograms/5.Automatic Color Correction.mp4 55.1 MB
- 03 OpenCV 104 - Histograms/4.Gamma Correction.mp4 54.8 MB
- 04 Face Applications 101 - Face Detection/3.Deep Learning Face Detection with Dlib.mp4 54.4 MB
- 21 Object Detection 101 - Easy Object Detection/7.Real-time Deep Learning Object Detection with OpenCV.mp4 53.6 MB
- 14 Deep Learning 130 - Hyperparameter Tuning/3.Using scikit-learn to Tune Deep Learning Model Hyperparameters.mp4 53.5 MB
- 05 Face Applications 102 - Fundamentals of Facial Landmarks/2.Detecting Eyes, Nose, Lips, and Jaw with OpenCV.mp4 52.2 MB
- 05 Face Applications 102 - Fundamentals of Facial Landmarks/3.Real-time Facial Landmark Detection.mp4 51.3 MB
- 18 Autoencoders 101 - Intro to Autoencoders/3.Anomaly Detection with Autoencoders.mp4 49.6 MB
- 21 Object Detection 101 - Easy Object Detection/5.Haar Cascades with OpenCV.mp4 48.9 MB
- 21 Object Detection 101 - Easy Object Detection/6.Deep Learning Object Detectors with OpenCV.mp4 48.6 MB
- 02 OpenCV 102 - Basic Image Processing Operations/9.Automatic Edge Detection.mp4 46.3 MB
- 02 OpenCV 102 - Basic Image Processing Operations/8.Edge Detection.mp4 45.7 MB
- 02 OpenCV 102 - Basic Image Processing Operations/4.Color Spaces.mp4 45.3 MB
- 05 Face Applications 102 - Fundamentals of Facial Landmarks/1.Facial Landmarks with Dlib and and OpenCV.mp4 41.0 MB
- 09 Deep Learning 102 - Optimization Methods and Regularization/1.Understanding and Implementing Gradient Descent.mp4 40.5 MB
- 03 OpenCV 104 - Histograms/3.Histogram Matching.mp4 36.9 MB
- 01 OpenCV 101 - OpenCV Basics/4.Translation.mp4 36.0 MB
- 10 - Deep Learning 103 - Neural Network Fundamentals/2.Implementing the Perceptron Neural Network with Python.mp4 35.7 MB
- 02 OpenCV 102 - Basic Image Processing Operations/5.Basic Thresholding.mp4 35.6 MB
- 01 OpenCV 101 - OpenCV Basics/10.Bitwise Operations.mp4 35.3 MB
- 09 Deep Learning 102 - Optimization Methods and Regularization/2.Stochastic Gradient Descent (SGD).mp4 35.0 MB
- 01 OpenCV 101 - OpenCV Basics/11.Masking.mp4 34.4 MB
- 04 Face Applications 101 - Face Detection/1.Face Detection with Haar Cascades.mp4 33.9 MB
- 02 OpenCV 102 - Basic Image Processing Operations/6.Adaptive Thresholding.mp4 33.6 MB
- 01 OpenCV 101 - OpenCV Basics/12.Splitting and Merging Channels.mp4 32.9 MB
- 06 Face Recognition 101 - Fundamentals of Facial Recognition/3.OpenCV Eigenfaces for Face Recognition.mp4 32.6 MB
- 01 OpenCV 101 - OpenCV Basics/7.Flipping.mp4 32.0 MB
- 02 OpenCV 102 - Basic Image Processing Operations/3.Smoothing and Blurring.mp4 30.9 MB
- 02 OpenCV 102 - Basic Image Processing Operations/7.Image Gradients.mp4 26.4 MB
- 08 Deep Learning 101 - Neural Networks and Parameterized Learning/5.Parameterized Learning and Neural Networks.mp4 26.0 MB
- 01 OpenCV 101 - OpenCV Basics/8.Cropping.mp4 25.6 MB
- 02 OpenCV 102 - Basic Image Processing Operations/2.Morphological Operations.mp4 23.4 MB
- 01 OpenCV 101 - OpenCV Basics/5.Rotation.mp4 23.1 MB
- 01 OpenCV 101 - OpenCV Basics/1.Loading and Displaying Images.mp4 23.1 MB
- 08 Deep Learning 101 - Neural Networks and Parameterized Learning/1.What is Deep Learning#.mp4 22.6 MB
- 10 - Deep Learning 103 - Neural Network Fundamentals/6.Understanding Weight Initialization for Neural Networks.mp4 21.7 MB
- 10 - Deep Learning 103 - Neural Network Fundamentals/1.Introduction to Neural Networks.mp4 21.7 MB
- 01 OpenCV 101 - OpenCV Basics/9.Image Arithmetic.mp4 19.4 MB
- 08 Deep Learning 101 - Neural Networks and Parameterized Learning/4.Your First Image Classifier# Using k-NN to Classify Images.mp4 17.9 MB
- 01 OpenCV 101 - OpenCV Basics/3.Drawing with OpenCV.mp4 16.5 MB
- 01 OpenCV 101 - OpenCV Basics/2.Getting and Setting Pixels.mp4 14.0 MB
- 08 Deep Learning 101 - Neural Networks and Parameterized Learning/3.The Deep Learning Classification Pipeline.mp4 12.0 MB
- 01 OpenCV 101 - OpenCV Basics/6.Resizing.mp4 6.9 MB
- Extras/Esses cursos não possuem ordem no site oficial.txt 38 bytes
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