Udemy - Complete Computer Vision Bootcamp With PyTorch & Tensorflow (1.2025)

Creation Time	July 17, 2025, 6:09 a.m.
Last Access Time	July 18, 2025, 3:59 p.m.
File Size	27.5 GB
Keywords	Complete - Bootcamp 1 2025 PyTorch Computer Tensorflow Udemy With Vision
Total Requests	38
Total Files	303
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5 - computer vision (Open CV With Python)/19 -Image Segmentation Using openCV.mp4 658.3 MB
6 - PyTorch/16 -CNN Training Using a Custom Dataset.mp4 535.3 MB
2 - Python Prerequisites/36 -Pandas-DataFrame And Series.mp4 532.6 MB
2 - Python Prerequisites/35 -Numpy In Python.mp4 520.4 MB
2 - Python Prerequisites/37 -Data Manipulation With Pandas And Numpy.mp4 447.0 MB
5 - computer vision (Open CV With Python)/20 -Haar Cascade for face detection.mp4 419.9 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/6 -Vanishing Gradient Problem and Sigmoid.mp4 399.2 MB
2 - Python Prerequisites/11 -Sets In Python.mp4 393.6 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/3 -ANN intuition and Working.mov.mp4 386.5 MB
2 - Python Prerequisites/8 -Loops In Python.mp4 376.9 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/4 -Back Propogation and Weight Updation.mp4 359.9 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/17 -Loss Function Classification Problem.mp4 358.0 MB
6 - PyTorch/12 -Create Linear Regression model with Pytorch components.mp4 353.4 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/1 -Perceptron Intuition.mp4 326.9 MB
11 - Image Segmentation/5 -Fully Convolutional Networks (FCNs).mp4 325.0 MB
10 - Basics of Object Detection/11 -Custom Object Detection with YOLOv11.mp4 307.4 MB
2 - Python Prerequisites/7 -Conditional Statements(if,elif,else).mp4 307.1 MB
6 - PyTorch/22 -Implementing gradio app inference backend.mp4 306.9 MB
2 - Python Prerequisites/12 -Dictionaries In Python.mp4 298.8 MB
2 - Python Prerequisites/9 -List and List Comprehension In Python.mp4 287.0 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/16 -Regression Cost Function.mp4 285.7 MB
5 - computer vision (Open CV With Python)/11 -Affine.mp4 275.5 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/32 -Convolution Operatuin In CNN.mp4 275.1 MB
5 - computer vision (Open CV With Python)/6 -image Resizing, Scaling and interpolation.mp4 274.9 MB
2 - Python Prerequisites/38 -Reading Data From Various Data Source Using Pandas.mp4 272.3 MB
2 - Python Prerequisites/4 -Variables In Python.mp4 267.7 MB
6 - PyTorch/14 -Understanding components of custom data loader in pytorch.mp4 266.8 MB
2 - Python Prerequisites/39 -Logging Practical Implementation In Python.mp4 254.2 MB
6 - PyTorch/15 -Defining custom Image Dataset loader and usage.mp4 248.4 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/8 -Sigmoid Activation Function part -2.mp4 234.8 MB
10 - Basics of Object Detection/12 -Custom Object Detection with Detectron2.mp4 233.4 MB
3 - Introduction To Deep Learning/2 -Why Deep Learning is Becoming Popular.mp4 228.4 MB
2 - Python Prerequisites/15 -More Coding Examples With Functions.mp4 224.2 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/5 -Chain Rule Of Derivatives.mp4 223.7 MB
2 - Python Prerequisites/3 -Python Basics- Syntax and Semantics.mp4 221.1 MB
6 - PyTorch/7 -Tensor Manuplation.mp4 214.6 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/28 -Dropout Layers.mp4 213.6 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/22 -SGD with Momentum.mp4 211.5 MB
10 - Basics of Object Detection/2 -Object Detection Metrics.mp4 208.1 MB
6 - PyTorch/11 -Understanding Pytorch neural network components.mp4 206.9 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/19 -Gradient Descent Optimizers.mp4 206.7 MB
2 - Python Prerequisites/23 -Exception Handling.mp4 204.3 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/27 -Weight Initialisation Techniques.mp4 201.5 MB
5 - computer vision (Open CV With Python)/4 -Exploring Color Space.mp4 199.3 MB
7 - Deep Dive Visualizing CNNs/1 -Image Understanding with CNNs vs ANNs.mp4 198.7 MB
5 - computer vision (Open CV With Python)/18 -Contours.mp4 196.7 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/13 -Softmax for Multiclass Classification.mp4 194.4 MB
5 - computer vision (Open CV With Python)/14 -014.mp4 190.0 MB
2 - Python Prerequisites/27 -Encapsulation In OOPS.mp4 187.0 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/10 -Relu Activation Function.mp4 184.5 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/35 -Max, Min and Average Pooling.mp4 182.4 MB
2 - Python Prerequisites/24 -Classes And Objects In Python.mp4 179.2 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/21 -Mini Batch With SGD.mp4 178.6 MB
2 - Python Prerequisites/14 -Getting Started With Functions.mp4 177.2 MB
10 - Basics of Object Detection/4 -Getting started with YOLO.mp4 177.1 MB
2 - Python Prerequisites/34 -Function Copy,Closures And Decorators.mp4 176.7 MB
5 - computer vision (Open CV With Python)/12 -Image FIlters.mp4 176.6 MB
5 - computer vision (Open CV With Python)/14 -Edge Detection Using Sobel, Canny & Laplacian.mp4 173.7 MB
11 - Image Segmentation/1 -Introduction to Image Segmentation.mp4 173.2 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/26 -Exploding Gradient Problem.mp4 169.6 MB
2 - Python Prerequisites/13 -Tuples In Python.mp4 168.7 MB
2 - Python Prerequisites/6 -Operators In Python.mp4 167.6 MB
6 - PyTorch/13 -Multi Class classification with pytorch using custom neural networks.mp4 165.2 MB
2 - Python Prerequisites/25 -Inheritance In OOPS.mp4 161.6 MB
2 - Python Prerequisites/26 -Polymorphism In OOPS.mp4 157.7 MB
2 - Python Prerequisites/1 -Anaconda Installation.mp4 156.2 MB
5 - computer vision (Open CV With Python)/2 -Working with the video Files.mp4 155.4 MB
5 - computer vision (Open CV With Python)/16 -Histogram Equalization.mp4 155.0 MB
5 - computer vision (Open CV With Python)/5 -Color Thresholding.mp4 151.5 MB
10 - Basics of Object Detection/1 -What is Object Detection.mp4 148.7 MB
5 - computer vision (Open CV With Python)/7 -Flip, Rotate and Crop Images.mp4 146.8 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/29 -CNN Introduction.mp4 146.5 MB
3 - Introduction To Deep Learning/1 -Introduction.mp4 146.4 MB
2 - Python Prerequisites/20 -Standard Library Overview.mp4 144.5 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/23 -Adagard.mp4 144.2 MB
8 - Image Classification/4 -LeNet with Pytorch.mp4 141.8 MB
2 - Python Prerequisites/2 -Getting Started With VS Code.mp4 141.7 MB
6 - PyTorch/10 -Stack Operation.mp4 140.5 MB
10 - Basics of Object Detection/10 -FASTER RCNN with Pytorch Implementation.mp4 140.2 MB
8 - Image Classification/17 -ResNet Architecture.mp4 140.1 MB
2 - Python Prerequisites/41 -Logging With a Real World Examples.mp4 137.6 MB
10 - Basics of Object Detection/5 -Getting started with Detectron2.mp4 137.2 MB
7 - Deep Dive Visualizing CNNs/2 -CNN Explainer.mp4 136.8 MB
2 - Python Prerequisites/31 -Custom Exception Handling.mp4 136.1 MB
2 - Python Prerequisites/21 -File Operation In Python.mp4 135.9 MB
2 - Python Prerequisites/19 -Import Modules And Package In Python.mp4 135.4 MB
8 - Image Classification/6 -AlexNet with Keras.mp4 135.3 MB
6 - PyTorch/19 -Tools to create interactive demos.mp4 135.2 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/36 -Flattening and Fully Connected Layers.mp4 134.8 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/34 -Operation Of CNN Vs ANN.mp4 133.1 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/30 -Human Brain V CNN.mp4 131.0 MB
10 - Basics of Object Detection/9 -FASTER RCNN.mp4 129.7 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/20 -SGD.mp4 129.1 MB
2 - Python Prerequisites/5 -Basic Datatypes In Python.mp4 126.6 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/31 -All you need to know about Images.mp4 121.9 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/2 -Adv and Diadvantaes of Perceptron.mp4 121.6 MB
7 - Deep Dive Visualizing CNNs/5 -Building Your Own Filters.mp4 116.6 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/7 -Sigmoid Activation Function.mp4 116.3 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/15 -Loss Function Vs Cost Function.mp4 116.1 MB
7 - Deep Dive Visualizing CNNs/4 -CNN Filters.mp4 115.1 MB
11 - Image Segmentation/6 -UNet.mp4 113.4 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/25 -Adam Optimiser.mp4 113.4 MB
9 - Data Augmentation/2 -Data Augmentation with Albumentations.mp4 112.9 MB
5 - computer vision (Open CV With Python)/17 -CLAHE.mp4 111.3 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/24 -RMSPROP.mp4 109.7 MB
6 - PyTorch/6 -Tensor data types.mp4 108.3 MB
8 - Image Classification/20 -Resnet Transfer Learning.mp4 107.9 MB
6 - PyTorch/1 -Introduction PyTorch.mp4 106.9 MB
6 - PyTorch/3 -indexing Tensors.mp4 105.6 MB
8 - Image Classification/7 -AlexNet with Pytorch.mp4 105.4 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/33 -Padding In CNN.mp4 104.9 MB
8 - Image Classification/12 -VGG Transfer Learning.mp4 103.9 MB
8 - Image Classification/13 -Inception Architecture.mp4 102.9 MB
8 - Image Classification/16 -Inception Transfer Learning.mp4 102.7 MB
5 - computer vision (Open CV With Python)/15 -Calculating and Plotting Histogram.mp4 102.2 MB
6 - PyTorch/4 -Using Random Numbers to create noise image.mp4 99.9 MB
5 - computer vision (Open CV With Python)/13 -013.mp4 98.1 MB
6 - PyTorch/9 -View and Reshape Operation.mp4 98.0 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/9 -Tanh Activation Function.mp4 98.0 MB
7 - Deep Dive Visualizing CNNs/7 -CNN Parameter Calculations.mp4 97.7 MB
5 - computer vision (Open CV With Python)/13 -Applying Blur filters Average, Gaussian, Median.mp4 97.2 MB
8 - Image Classification/8 -VGG Architecture.mp4 96.7 MB
6 - PyTorch/2 -Introduction to Tensors.mp4 96.4 MB
7 - Deep Dive Visualizing CNNs/3 -Visualization with Tensorspace.mp4 92.6 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/14 -Which Activation Function To Apply When.mp4 91.7 MB
5 - computer vision (Open CV With Python)/9 -Drawing lines and shapes using opencv.mp4 90.2 MB
11 - Image Segmentation/3 -UpsamplingTransposed Convolution.mp4 89.4 MB
10 - Basics of Object Detection/6 -Object Detection Architectures.mp4 89.0 MB
7 - Deep Dive Visualizing CNNs/8 -Receptive Fields.mp4 88.9 MB
11 - Image Segmentation/4 -Segmentation Loss Functions.mp4 88.5 MB
2 - Python Prerequisites/40 -Logging With Multiple Loggers.mp4 88.4 MB
2 - Python Prerequisites/33 -Generators In Python.mp4 86.9 MB
5 - computer vision (Open CV With Python)/1 -Reading and Writing Images.mp4 85.2 MB
8 - Image Classification/3 -LeNet with Keras.mp4 85.0 MB
6 - PyTorch/17 -Understanding Components of an Application.mp4 85.0 MB
11 - Image Segmentation/2 -Downsampling.mp4 83.2 MB
2 - Python Prerequisites/17 -Map Functions In Python.mp4 82.4 MB
2 - Python Prerequisites/10 -Preactical Exmaples Of List.mp4 82.2 MB
7 - Deep Dive Visualizing CNNs/6 -Feature Map Size Calculation.mp4 81.4 MB
9 - Data Augmentation/1 -What is Data Augmentation.mp4 81.3 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/11 -Leaky Relu and Parametric Relu.mp4 79.3 MB
6 - PyTorch/8 -Matrix Aggregation.mp4 79.2 MB
10 - Basics of Object Detection/8 -FAST RCNN.mp4 79.0 MB
8 - Image Classification/1 -What is Image Classification.mp4 78.6 MB
2 - Python Prerequisites/30 -Operator Overloading In Python.mp4 77.4 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/37 -CNN Example with RGB.mp4 76.9 MB
10 - Basics of Object Detection/7 -RCNN.mp4 76.7 MB
2 - Python Prerequisites/22 -Working With File Paths.mp4 73.8 MB
6 - PyTorch/24 -Deploying gradio app on hugging face space.mp4 73.3 MB
2 - Python Prerequisites/28 -Abstraction In OOPS.mp4 72.2 MB
6 - PyTorch/20 -Hosting platform.mp4 70.5 MB
2 - Python Prerequisites/18 -Filter Function In Python.mp4 70.4 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/12 -ELU Activation Function.mp4 69.0 MB
2 - Python Prerequisites/29 -Magic Methods In Python.mp4 68.5 MB
2 - Python Prerequisites/16 -Python Lambda Functions.mp4 68.2 MB
5 - computer vision (Open CV With Python)/10 -Adding Text to Image.mp4 67.5 MB
8 - Image Classification/5 -AlexNet Architecture.mp4 67.4 MB
8 - Image Classification/10 -VGG Pretrained Keras.mp4 65.6 MB
8 - Image Classification/2 -LeNet Architecture.mp4 65.5 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/18 -Which Loss Function To Use When.mp4 62.1 MB
9 - Data Augmentation/3 -Data Augmentation with Imgaug.mp4 58.6 MB
6 - PyTorch/23 -Setting hugging face space.mp4 58.5 MB
6 - PyTorch/21 -Setting up gradio app in local space.mp4 54.5 MB
10 - Basics of Object Detection/3 -What are Bounding Boxes.mp4 50.5 MB
2 - Python Prerequisites/32 -Iterators In Python.mp4 47.5 MB
5 - computer vision (Open CV With Python)/3 -Introduction openCv.mp4 46.9 MB
8 - Image Classification/14 -Inception Pretrained Keras.mp4 45.8 MB
8 - Image Classification/11 -VGG Pretrained Pytorch.mp4 42.4 MB
6 - PyTorch/5 -Tensors of Zero's and One's.mp4 35.4 MB
8 - Image Classification/15 -Inception Pretrained Pytorch.mp4 35.3 MB
8 - Image Classification/9 -Transfer Learning vs Pretrained.mp4 34.0 MB
10 - Basics of Object Detection/5 -Getting_Started_with_Detectron2_Object_Detection.ipynb 33.4 MB
6 - PyTorch/22 -022.zip 31.3 MB
6 - PyTorch/16 -016-CNN-Training-Using-a-Custom-Dataset.zip 31.2 MB
6 - PyTorch/18 -What is Deployment.mp4 30.2 MB
8 - Image Classification/19 -Resnet Pretrained Pytorch.mp4 26.0 MB
8 - Image Classification/18 -Resnet Pretrained Keras.mp4 21.9 MB
5 - computer vision (Open CV With Python)/8 -Understanding Coordinate system in openCV.mp4 21.8 MB
7 - Deep Dive Visualizing CNNs/1 -Understanding of images with Visualization.pdf 8.4 MB
5 - computer vision (Open CV With Python)/11 -011.zip 5.1 MB
10 - Basics of Object Detection/12 -Custom_Dataset_Training_with_Detectron2.ipynb 5.0 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/29 -30-38 CNN.pdf 5.0 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/6 -8-15 Activation functions.pdf 4.7 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/19 -20-26 Optimizers.pdf 4.2 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/3 -5-8 Deep LEarning.pdf 4.2 MB
7 - Deep Dive Visualizing CNNs/5 -Building Your Custom Filters.ipynb 4.1 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/15 -16-19 Loss Functions.pdf 3.5 MB
3 - Introduction To Deep Learning/1 -1-4 Deep learnng.pdf 3.1 MB
5 - computer vision (Open CV With Python)/19 -019.zip 2.9 MB
9 - Data Augmentation/2 -Data_Augmenation_with_Albumentations.ipynb 2.0 MB
11 - Image Segmentation/1 -001-Introduction to image segmentation.pdf 2.0 MB
10 - Basics of Object Detection/1 -What is Object Detection.pdf 1.9 MB
5 - computer vision (Open CV With Python)/11 -011.pdf 1.9 MB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/27 -27-8 Weight initialization Techniques.pdf 1.9 MB
5 - computer vision (Open CV With Python)/4 -004.zip 1.8 MB
8 - Image Classification/8 -VGG CNN Architecture.pdf 1.8 MB
10 - Basics of Object Detection/9 -Faster RCNN.pdf 1.8 MB
5 - computer vision (Open CV With Python)/6 -006.zip 1.7 MB
5 - computer vision (Open CV With Python)/17 -017.zip 1.7 MB
11 - Image Segmentation/5 -005-Fully Convolutional Networks (FCNs).pdf 1.6 MB
8 - Image Classification/17 -Resnet Architecture.pdf 1.5 MB
10 - Basics of Object Detection/7 -RCNN.pdf 1.4 MB
8 - Image Classification/13 -Googlenet CNN Architecture.pdf 1.4 MB
8 - Image Classification/2 -LeNet-5 CNN Architecture.pdf 1.3 MB
10 - Basics of Object Detection/8 -Fast RCNN.pdf 1.2 MB
6 - PyTorch/20 -020.pdf 1.2 MB
10 - Basics of Object Detection/10 -Faster_RCNN_with_Pytorch.ipynb 1.2 MB
10 - Basics of Object Detection/3 -Bounding Boxes.pdf 1.1 MB
8 - Image Classification/1 -What is Image Classification.pdf 1.1 MB
11 - Image Segmentation/4 -004-Segmentation Loss Functions.pdf 1.0 MB
5 - computer vision (Open CV With Python)/14 -014.zip 1.0 MB
10 - Basics of Object Detection/11 -Custom_Dataset_Training_with_YOLOv11.ipynb 1.0 MB
5 - computer vision (Open CV With Python)/5 -005.zip 1.0 MB
11 - Image Segmentation/6 -006-Unet.pdf 1.0 MB
5 - computer vision (Open CV With Python)/16 -016.zip 1005.3 KB
5 - computer vision (Open CV With Python)/2 -003.zip 1004.6 KB
6 - PyTorch/17 -017.pdf 973.8 KB
10 - Basics of Object Detection/6 -Object Detection Architectures.pdf 955.1 KB
6 - PyTorch/9 -009-View-and-reshape.zip 943.3 KB
6 - PyTorch/9 -009-View-and-reshape.pdf 943.1 KB
5 - computer vision (Open CV With Python)/17 -017.pdf 940.2 KB
8 - Image Classification/5 -AlexNet CNN Architecture.pdf 906.3 KB
6 - PyTorch/15 -015.pdf 897.8 KB
6 - PyTorch/16 -016.pdf 897.4 KB
11 - Image Segmentation/3 -003-Transposed convolution.pdf 891.5 KB
6 - PyTorch/19 -019.pdf 887.2 KB
5 - computer vision (Open CV With Python)/7 -007.zip 884.8 KB
9 - Data Augmentation/3 -Data_Augmentation_with_IMGAUG.ipynb 874.9 KB
6 - PyTorch/11 -011-Understanding-Pytorch-neural-network-components.pdf 862.3 KB
6 - PyTorch/10 -010-Stack-Operation.zip 846.8 KB
6 - PyTorch/10 -010-Stack-Operation.pdf 846.6 KB
6 - PyTorch/18 -018.pdf 843.6 KB
11 - Image Segmentation/2 -002-Downsampling.pdf 825.8 KB
5 - computer vision (Open CV With Python)/18 -018.zip 817.8 KB
8 - Image Classification/20 -Resnet Transfer Learning Pytorch.ipynb 787.0 KB
5 - computer vision (Open CV With Python)/8 -008.pdf 780.0 KB
8 - Image Classification/16 -InceptionV3_Transfer_Learning_Keras_CIFAR10.ipynb 760.7 KB
4 - Deep Learning-ANN, Optimizers, Loss Functions, Activation Functions,CNN Theory/28 -29-Dropout Layer.pdf 760.1 KB
6 - PyTorch/4 -004-Using Random Numbers to create noise image.zip 759.8 KB
8 - Image Classification/14 -Inception Pretrained.ipynb 754.3 KB
8 - Image Classification/18 -Resnet Pretrained Keras.ipynb 654.8 KB
5 - computer vision (Open CV With Python)/13 -013.zip 585.1 KB
5 - computer vision (Open CV With Python)/12 -012.zip 570.4 KB
2 - Python Prerequisites/1 -Complete-Python-Bootcamp-main.zip 554.2 KB
2 - Python Prerequisites/2 -Complete-Python-Bootcamp-main.zip 554.2 KB
5 - computer vision (Open CV With Python)/1 -002.zip 471.6 KB
8 - Image Classification/12 -VGG Transfer Learning Pytorch.ipynb 440.3 KB
8 - Image Classification/19 -Resnet Pretrained Pytorch.ipynb 422.1 KB
5 - computer vision (Open CV With Python)/9 -009.zip 408.9 KB
8 - Image Classification/15 -Inception Pytorch Pretrained.ipynb 408.5 KB
7 - Deep Dive Visualizing CNNs/4 -CNN Filters.pdf 406.9 KB
8 - Image Classification/10 -VGG Keras Pretrained Model.ipynb 392.0 KB
8 - Image Classification/9 -Transfer Learning vs Pretrained.pdf 385.9 KB
8 - Image Classification/11 -VGG Pretrained Pytorch.ipynb 364.3 KB
5 - computer vision (Open CV With Python)/15 -015.zip 304.7 KB
6 - PyTorch/15 -015-Defining-custom-Image-Dataset-loader-and-usage.zip 155.7 KB
8 - Image Classification/6 -AlexNet _ Keras.ipynb 108.1 KB
8 - Image Classification/4 -LeNet5 Pytorch.ipynb 89.3 KB
8 - Image Classification/7 -AlexNet Pytorch.ipynb 68.5 KB
7 - Deep Dive Visualizing CNNs/5 -Build Your Custom Filters.pdf 51.9 KB
5 - computer vision (Open CV With Python)/10 -010.zip 48.5 KB
6 - PyTorch/14 -014-Understanding-components-of-custom-data-loader-in-pytorch.zip 27.5 KB
8 - Image Classification/3 -LeNet5 with MNIST Keras.ipynb 25.5 KB
7 - Deep Dive Visualizing CNNs/7 -CNN Parameter Calculation.ipynb 14.9 KB
10 - Basics of Object Detection/4 -Getting_Started_with_Yolov11.ipynb 12.8 KB
6 - PyTorch/12 -012-Create Linear Regression model with Pytorch components.zip 11.3 KB
6 - PyTorch/5 -005-Tensors of Zero_s and One_s.zip 6.2 KB
6 - PyTorch/13 -013-Multi-Class-classification-with-pytorch-using-custom-neural-networks.zip 5.6 KB
6 - PyTorch/7 -007-Tensor_Manipulation.zip 3.3 KB
11 - Image Segmentation/5 -005-Fully Convolutional Networks (FCNs).zip 2.7 KB
6 - PyTorch/11 -011-Understanding Pytorch neural network components.zip 2.6 KB
6 - PyTorch/3 -003-Indexing-Tensors.zip 2.2 KB
6 - PyTorch/2 -002-Introduction to tensors.zip 2.1 KB
6 - PyTorch/6 -006-Tensor DataTypes.zip 2.0 KB
6 - PyTorch/8 -008-Matrix Aggregation.zip 1.9 KB
5 - computer vision (Open CV With Python)/20 -020.zip 1.6 KB
11 - Image Segmentation/2 -002-Downsampling.zip 1.4 KB
11 - Image Segmentation/3 -003-Transposed convolution.zip 1.3 KB
11 - Image Segmentation/4 -004-Segmentation_Loss_Functions.zip 1.2 KB
6 - PyTorch/21 -021.zip 778 bytes
1 - Introduction/1 - Welcome to the Course.html 146 bytes
10 - Basics of Object Detection/10 -Colab Link.url 108 bytes
7 - Deep Dive Visualizing CNNs/7 -Colab Link.url 108 bytes
8 - Image Classification/20 -Dataset.url 108 bytes
9 - Data Augmentation/2 -Colab Link.url 108 bytes
9 - Data Augmentation/3 -Colab Link.url 108 bytes
10 - Basics of Object Detection/11 -Colab Link.url 105 bytes
10 - Basics of Object Detection/12 -Colab Link.url 105 bytes
10 - Basics of Object Detection/4 -Colab Link.url 105 bytes
10 - Basics of Object Detection/5 -Colab Link.url 105 bytes
8 - Image Classification/12 -Dataset.url 105 bytes
8 - Image Classification/6 -Dataset.url 105 bytes
8 - Image Classification/7 -Dataset.url 105 bytes
8 - Image Classification/2 -Paper.url 83 bytes
10 - Basics of Object Detection/2 -OD Metrics.url 80 bytes
7 - Deep Dive Visualizing CNNs/3 -Tensorspace Link.url 73 bytes
11 - Image Segmentation/6 -006-Unet-Research-paper-mentioned.txt 66 bytes
7 - Deep Dive Visualizing CNNs/2 -CNN Explainer Link.url 64 bytes
11 - Image Segmentation/5 -005-Fully Convolutional Networks (FCNs)-Research-paper-mentioned.txt 56 bytes
10 - Basics of Object Detection/8 -Paper Link.url 55 bytes
10 - Basics of Object Detection/9 -Paper Link.url 55 bytes
10 - Basics of Object Detection/7 -Paper.url 54 bytes
2 - Python Prerequisites/1 - Complete Python Materials.html 48 bytes

Udemy - Complete Computer Vision Bootcamp With PyTorch & Tensorflow (1.2025)

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